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Location: United States; Romania; Georgia; Bulgaria; Canada; Egypt; Azerbaijan; India; Germany; Kazakhstan; Ukraine; Spain; Netherlands; Hungary; United Kingdom; Portugal; Moldova; Poland Workplace: Remote About the company Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We are looking for a Senior Financial Data Analyst / FP&A Business Partner who will help us understand where the business makes money, where profit is lost, and which decisions can improve margins, cash flow, and overall performance. You will work closely with founders, finance, product, operations, and business teams to turn financial and operational data into clear recommendations. This role exists to help leadership make faster, better decisions based on real business numbers. What You'll Be Doing: Build and improve executive dashboards that show revenue, profit, margins, COGS, OpEx, refunds, payouts, cash flow, and key business metrics Analyze profitability across products, customers, providers, geographies, channels, lead sources, and operational workflows Create P&L analysis, gross margin analysis, contribution margin analysis, unit economics models, forecasts, and scenario analysis Identify cost leaks, overspending, inefficient vendors, payment issues, margin risks, and other areas where the business can improve profit Partner with finance, accounting, product, operations, sales, and marketing teams to connect business activity with financial outcomes Reconcile business data with invoices, payouts, payment systems, taxes, accounting records, and financial reports Present clear recommendations to founders and senior leadership on pricing, cost optimization, product profitability, hiring, and growth decisions What Makes You a Strong Fit: 6-8+ years of experience in financial analytics, FP&A, data analytics, business analytics, or a similar role Strong experience with financial modeling, P&L analysis, unit economics, budgeting, forecasting, and variance analysis Expert-level SQL and strong hands-on experience with BigQuery Strong experience with Looker, Power BI, Tableau, or similar BI tools Advanced Excel or Google Sheets skills for financial modeling, reporting, and scenario analysis Good understanding of accounting basics, financial statements, revenue, COGS, OpEx, gross margin, contribution margin, and cash flow Clear communication in English, both spoken and written, with the ability to explain financial insights to founders, business teams, and non-finance stakeholders Bonus if you have: Experience with Python or another scripting language for data analysis and reporting automation Experience with payment systems, accounting systems, CRM, ERP, Stripe, QuickBooks, Xero, NetSuite, or similar tools Experience in marketplace, SaaS, fintech, real estate, lead generation, or performance marketing businesses Experience working directly with founders or senior leadership in a fast-moving business environment Why You'll Love It Here: You'll work at the core of a product-led, AI-powered startup where data drives every decision Your work will ship fast and impact thousands of users High autonomy, low bureaucracy: we trust you to own your domain Remote-first culture with flexible hours and async-friendly communication Salary (fixed base) ABOVE the market average A smart, passionate team that moves fast, supports each other, and builds cool stuff 15 paid vacation days plus 5 paid sick days annually Paid access to courses, books, and growth resources Real decision-making power and ownership of your results

Location: Bremen, Germany Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology About the Position The research group of Dr. Sari Sadiya at Constructor Knowledge Labs (CKL) , in collaboration with Constructor University (CU) and Constructor Technology (CT) , invites applicants for Ph.D. student positions in Computer Science with a focus on wearable intelligence, multimodal data fusion, and edge AI . The project investigates how wearable data streams can be transformed into structured knowledge and integrated into a knowledge-grounded digital avatar that supports bi-directional collaboration in education and research. Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction . In close collaboration with academia and industry, they will contribute to building privacy-preserving, real-time personalization frameworks while pursuing their doctoral dissertation. About the Program The PhD program is research-centered, emphasizing original contributions in: Wearable data analytics and fusion methods Biomedical data analytics On-device processing and performance modeling Personalization and adaptive reasoning systems AI for Education Doctoral students will also have access to specialized courses in: Artificial Intelligence, Machine Learning, and Edge Computing Advanced Computational Methods and Data Science Cognitive Science and Human-Centered Computing As part of the program, students will collaborate with Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes. Research Focus This PhD position is part of the Wearable Intelligence Project , with two main research directions: Data fusion of heterogeneous temporal streams Designing algorithms to unify multimodal signals (physiological, cognitive, contextual, scheduling, and learning data). Developing pipelines that produce structured insights powering the Agentic Personalization Engine (APE) . On-device data processing & performance modeling Developing models balancing computation, energy, and data flows across wearable, edge, and cloud environments. Exploring feasibility of running compact micro-LLMs directly on wearables . The overarching goal is to create scalable, ethical, and transparent personalization systems that support education and research. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €603 mini-job allowance to support parallel part-time employment (optional) Constructor Knowledge Labs actively supports candidates in preparing applications for external funding — doctoral scholarships, foundations, or international mobility grants — and can provide institutional support and references Applicant Profile Mandatory requirements: MSc degree (or equivalent) in Computer Science, AI/ML, Data Science, Cognitive Science, or related disciplines. Strong background in AI/ML, signal processing, or edge computing. Hands-on experience with wearable or multimodal data (e.g., heart rate, EEG, activity, sleep, GPS) . Solid mathematical and computational modeling skills. Proficiency in academic English writing (e.g., reports, papers, theses). Preferred qualifications: Experience with LLMs, multimodal data fusion, or agent-based AI systems . Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks . Demonstrated ability to conduct independent research and collaborate across disciplines. Interest in teaching, mentoring, and applied industrial research. Application Details Deadline : August 31, 2026 Required documents: Curriculum Vitae (CV); Academic transcripts; Letter of motivation outlining research interests and career goals; 2 recommendation letters. Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: United States MEMX is seeking a Software Engineer with a strong passion for data and experience in business intelligence tools to join our regulatory software engineering team. In this role, you will design, develop, and maintain data pipelines, integrate data from various sources, and transform it into meaningful insights. This role requires a combination of strong Java programming skills and experience with Business Intelligence (BI) tools, data processing, and data integration. MEMX currently has a U.S. presence in these states: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, & Utah. *If you live outside of the above states, please list in your application and our team will evaluate. What You'll Do Design, build, and optimize data pipelines and workflows to process, clean, and transform data using Java Work with various data sources (SQL, NoSQL, cloud data storage) and build integrations to unify data for reporting and analytics Work closely with tech lead/product management to understand data needs, build dashboards, and develop automated reporting solutions Design and optimize storage solutions for structured and unstructured data, enhancing data retrieval and performance for BI purposes Maintain comprehensive documentation of processes, code, and data flows. Follow best practices in code design and deployment to production Requirements Strong proficiency in Java (Java 8+ preferred) with a focus on data-related frameworks and libraries Experience in handling large datasets, including data cleaning, transformation, and aggregation techniques Proficiency in working with SQL and NoSQL databases and an understanding of database design principles Familiarity with BI tools like Tableau, Power BI, or Looker to create and manage reports and visualizations Experience working with cloud platforms for data storage and processing is a plus Strong analytical and problem-solving skills to derive insights from data and enhance data processing workflows Preferred Qualifications Familiarity with Python or Java for data processing Understanding of data modeling and data warehousing concepts Experience with REST APIs and microservices architecture Knowledge of version control tools like Git and CI/CD pipelines Benefits At MEMX you will have the ability to work with a talented team of professionals who bring diversity of thought and background. You will have the opportunity to shape the future of our company and the impact MEMX will have on our clients and the broader markets. We offer competitive employee benefits and perks and will continue to make this a priority to attract the best. Work From Home Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited Paid Time Off Generous Paid Family Leave Short Term & Long-Term Disability Training & Development Wellness Resources Pay Range: $120,000 - $150,000 *Pay ranges are a general guideline only and not a guarantee of compensation. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: Shanghai, China The Company Our client was founded in 2009 and is headquartered in San Francisco. They describe themself as a “Retail Maximization Company,” focused on helping retailers, brands, and CPG companies improve digital revenue, customer experience, operational efficiency, and technology modernization. Their core positioning is highly retail-specialized rather than being a general-purpose IT services company. They emphasize deep expertise in: retail commerce, omnichannel systems, supply chain technology, AI and data platforms, experience design, cloud modernization, digital engineering, performance engineering, eCommerce migration, and upgrades. The Role Our client is seeking an experienced Business Systems Analyst to support Finance, Accounting, and ERP systems for their China operations. This role will act as the primary liaison between local business stakeholders in China and global Finance, Accounting, and Technology teams. The ideal candidate will have strong functional knowledge of finance and accounting processes, along with hands-on experience supporting Kingdee ERP and related business applications. This position reports to the Director of Business Analysis and collaborates closely with Finance, Accounting, IT, Operations, and external implementation partners. Key Responsibilities Serve as the primary Business Systems Analyst for Kingdee ERP and finance applications supporting China operations. Configure, maintain, and optimize ERP solutions across: General Ledger (GL) Accounts Payable (AP) Accounts Receivable (AR) Fixed Assets Cash Management Tax and Financial Reporting Collaborate with Finance stakeholders to gather business requirements and translate them into scalable system solutions. Support China statutory accounting and compliance, including: CAS / PRC GAAP Golden Tax System integration Fapiao processes VAT reporting Lead system implementations, enhancements, testing, deployment, and postgo-live support. Manage integrations between Kingdee ERP and global enterprise systems. Ensure data integrity, quality, and compliance with internal controls. Provide user training, documentation, and ongoing system support. Requirements Required Qualifications Bachelor’s degree in information systems, Accounting, Finance, Business Administration, or related field. 5+ years of experience in Business Systems Analysis, ERP implementation, or Finance Systems support. 3+ years of hands-on experience with Kingdee ERP (Kingdee Cloud, K3 Cloud, or similar). Strong understanding of core finance processes: GL, AP, AR, Fixed Assets, Cash Management, Financial Reporting, Tax. Experience in ERP implementation and system integrations. Fluency in Mandarin and English (written & spoken). Strong analytical, troubleshooting, and stakeholder management skills. Preferred Qualifications Experience working with multinational organizations in China. Knowledge of China Accounting Standards (CAS / PRC GAAP). Hands-on experience with: Golden Tax System Fapiao processes China VAT reporting Experience integrating Kingdee with global ERP platforms such as: Oracle, NetSuite, SAP, Microsoft Dynamics, Workday. Familiarity with APIs, middleware, and BI tools (Power BI, Tableau). Experience supporting SOX, audit, and compliance requirements. Knowledge of Lean, Six Sigma, or Agile methodologies. Industry experience in retail, e-commerce, supply chain, or manufacturing. Experience working in dual-ERP environments (China local ERP + global ERP systems). Key Competencies Bilingual communication and cross-cultural collaboration Business process analysis ERP systems expertise Finance and accounting knowledge Project management Requirements gathering and documentation Change management and user training Data analysis and reporting

Location: Armenia - Remote; Europe; Georgia - Remote; Portugal - Remote; Serbia - Remote; Spain - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You'll help build the intelligence layer that powers decision-making, AI agents, automation, and business operations across Smartcat — on a greenfield cloud data platform, transitioning from legacy on-premise, batch architectures to cloud-native, streaming-first infrastructure. This is a chance to shape how Smartcat scales its data capabilities over the next several years, directly aligned with the company's transformation into an AI-native, agentic platform. MISSION Help transform Smartcat's data platform into an AI-native foundation where business data becomes discoverable, actionable, and consumable by both humans and AI agents — partnering across Data, Product, Engineering, GTM, and AI teams to enable self-service analytics, intelligent automation, and agent-driven decision support. OUTCOMES Evolve Smartcat's data architecture into a scalable, cloud-native, AI-first platform, leading the transition from batch-oriented pipelines to near real-time and streaming systems Improve reliability, observability, governance, and performance across the data stack, establishing engineering standards and best practices Turn business data into AI-ready assets — building data products consumable by AI agents, analytics systems, and business users, with semantic layers and metadata management Use AI to accelerate development, testing, documentation, monitoring, and operational workflows, and design systems that let AI agents query, understand, and act on business data safely Improve business intelligence and data accessibility — making analytics simpler for non-technical stakeholders and enabling self-service without sacrificing governance or quality Raise the engineering bar through mentorship, code reviews, architecture leadership, and knowledge sharing across Data and Analytics Engineering HOW YOU'LL RAMP By Day 30: Get deep on Smartcat's current data architecture, the greenfield cloud platform build, and the transition plan from batch to streaming Meet your partners across Data, Product, Engineering, GTM, and AI teams to understand current pain points and priorities Get hands-on with the core stack (Databricks, dbt, Airflow, Python, SQL) and current BI tooling (e.g., Omni) By Day 60: Contribute to at least one concrete piece of the Next Generation Data Platform build (pipeline, streaming component, or data product) Have identified and started applying at least one AI-powered workflow to accelerate your own engineering work (testing, documentation, debugging) Begin shaping a semantic layer, metadata structure, or data product aimed at AI-agent or business-user consumption By Day 90: Own a defined piece of architecture or data product end-to-end, with measurable improvements in reliability, observability, or time-to-insight Be actively mentoring or raising the engineering bar through code reviews and architecture input Have a documented example of measurable productivity gains from AI adoption in your own workflow WHAT YOU'VE ACCOMPLISHED 6+ years of experience in Data Engineering, Analytics Engineering, or a related field A proven track record designing and operating modern cloud data platforms, ideally in high-growth SaaS environments Experience working effectively with both technical and business stakeholders Demonstrated ability to lead complex projects from design through delivery Strong hands-on experience with Databricks, dbt, Airflow, Python for data engineering, SQL and data modeling, data warehousing architectures, data quality frameworks, data governance, and data orchestration/integration Experience with streaming architectures and event-driven systems, business intelligence platforms, product analytics platforms, and CRM/customer data platforms A demonstrated AI-first mindset — AI-powered development workflows, automation of repetitive engineering tasks, use of AI for debugging/testing/architecture exploration/documentation, and evidence of measurable productivity gains through AI adoption Bonus: experience building AI-native data products, semantic layers, RAG systems, vector databases, knowledge graphs, or enabling AI agents to consume operational business data Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Dublin, Dublin, Ireland, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Senior Sales Engineer to join our Commercial sales team. As a Commercial Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java What You’ll Do Work with Commercial customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Commercial audiences Ensure the technical win by running an organised proof-of-value process Work closely with multiple cross-functional organisations, driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For 4+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT #LI-DC1 #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range €77.028 — €96.285 EUR Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United States Workplace: Remote ABOUT THE TEAM Most providers make customers migrate their data to them. We're doing the opposite: bringing ClickHouse Cloud into the environments our customers already trust, so their data stays useful right where it lives. Those environments come in a few shapes. Some are major cloud data platforms that run ClickHouse as a native service, so customers get it without leaving the tool they already use. Some are BI and visualization tools that need ClickHouse to show up as a fast, first-class data source behind their dashboards. And some are developer and data platforms we connect through marketplaces and identity federation with a couple of clicks or agentic calls. Every integration is unique, but the goal is the same every time: ClickHouse should feel like a first-class citizen in every environment. The craft is finding the patterns underneath different integrations. As one of the first backend engineers, you'll help shape the technical defaults for this team. You'll have end-to-end ownership, but you'll also work inside the constraints of platforms you don't own: thin documentation, unfamiliar deployment topologies, and timelines governed by partner approval cycles. A lot of the challenge is engineering across trust boundaries you don't fully control. You won't be doing it alone. You'll work closely with your engineering manager, the product manager, a growing team, and experienced engineers across the broader org. If that sounds like your kind of challenge, let's talk. WHAT YOU'LL DO You'll own an integration end to end: the design, the code, and the production system that keeps running after launch. The patterns you set there become defaults the rest of the team builds on. Day to day, that looks like: - Owning the architecture: auth and identity flows, multi-tenancy, how data moves and where it's allowed to live, performance, and what happens in production - Running what you build. Which means owning the infrastructure, CI, deployment, observability behind it and on-call - Working on top of external platforms you can't change, and being straight about which risks are yours to manage and which aren't - Partnering closely with the internal teams whose services you depend on: iterating on product requirements, agreeing on interfaces and protocols, and proactively finding ways to keep moving ABOUT YOU These are the attributes of someone who will perform well in this role: - 8+ years building software, with a good chunk of it on data-heavy or integration-flavored systems - Preferably proficient in TypeScript or Go or comfortable contributing to each - Solid backend and systems instincts. You can reason about deployment topology, multi-tenancy, and data movement, and you're comfortable owning architectural tradeoffs you'll have to live with later - You've worked with modern auth protocols, service principals, and identity federation, and you know how to get it right across a trust boundary - You've built on someone else's platform and know what that's actually like: incomplete docs, unintended breaking changes, etc. - You're comfortable in ambiguity. You can ship before the spec is finished, make sensible calls under uncertainty, and flag the decisions that'll be hard to undo to your team before we bake them in. - You're good with other engineers. Much of the work runs through teams you don't own, and you earn their trust by how you think, not just what you commit. - You're mainly a backend engineer, but you're comfortable enough to touch a modern React app - You use AI tools well and honestly. Reach for Claude Code, Cursor, Copilot, or whatever helps, and be clear about where you did and didn't - You write well. Most of how we coordinate happens async in chats, design docs and RFCs NICE TO HAVE None of these are required, but any of them would be a bonus: - Close familiarity with a major cloud data or analytics platform ecosystem - Real depth in auth and identity federation, or experience building to a partner's security review, marketplace requirements or certification requirements - Hands-on experience designing multi-tenant SaaS platforms, or the isolation and deployment topology behind them - Working knowledge of ClickHouse, or another columnar / OLAP engine PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote, Washington, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking to hire a Senior Solutions Architect, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the Pacific Northwest. Technologies You’ll Use SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools. What You’ll Do Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria Design enterprise-grade data transformation and analytics architectures using dbt Partner with Sales to communicate the technical and business value of the dbt platform Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate Build trusted relationships with technical practitioners, data leaders, and executive stakeholders Guide customers through technical architecture, security, governance, and deployment considerations Partner across the customer lifecycle to support successful adoption and identify opportunities for expansion Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap Build strong relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem Contribute technical expertise, reusable best practices, and thought leadership to the broader Field Engineering organization and dbt community Skills We’re Looking For 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI Strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling Strong understanding of modern cloud data warehouse, lake house, and analytics architectures Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences Ability to establish credibility and build trusted relationships with stakeholders ranging from data practitioners to senior executives Ability to operate effectively in a fast-paced, evolving environment while collaborating across Sales, Product, Engineering, and Customer teams Bonus Skills​ Experience with dbt or analytics engineering Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms Experience with data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF Experience with enterprise data integration or ETL platforms such as Informatica, Boomi, or Talend Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $197,512.50 — $274,329.23 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Europe ABOUT THE ROLE We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. We are looking for a Senior Product Manager to work on iGaming projects built on the SoftSwiss platform. The role involves driving the product development of online casino and sportsbook projects within a platform-based operating model. Core development, key technical capabilities, and part of the product logic are managed by the external platform. Our responsibility is to manage the product effectively, prioritize improvements, launch new features and A/B tests, optimize funnels, analyze product metrics, and coordinate internal and external teams. We are looking for someone who understands the specifics of the iGaming industry and knows how to work with ready-made platform solutions. This person should not rely on having an ideal in-house development team, but instead know how to deliver results through the platform provider, account managers, third-party providers, CRM, analytics, marketing, affiliate, customer support, risk/fraud, and operational teams. This position is well suited to someone who can think strategically as a Product Manager, act as an owner of delivery, and maintain a high level of operational control. REQUIREMENTS - 3–5+ years of experience as a Product Manager or Product Owner in iGaming - Strong understanding of online casino and sportsbook products, including: - registration; - KYC and verification; - deposits and withdrawals; - bonuses and wagering; - game lobby; - payments; - CRM mechanics; - retention and VIP; - affiliate traffic; - risk and fraud flows - Experience working with platform-based iGaming solutions such as SoftSwiss, TrueLabel, or BetConstruct - Understanding of the limitations of a platform-based model: - development is handled externally; - product changes are delivered through the platform; - some decisions depend on the platform roadmap, account/project managers, and the technical limitations of the out-of-the-box solution - Experience working with product metrics such as: - registrations; - FTD; - deposits and repeat deposits; - ARPU; - GGR and NGR; - retention; - conversion rates; - withdrawal rate; - bonus cost; - wagering completion; - player activity - Experience building and optimizing product funnels: - Registration → FTD → Repeat Deposit → Active Player → Retained Player - Ability to prepare business requirements, user stories, acceptance criteria, checklists, product briefs, and tasks for the platform team - Experience prioritizing tasks based on business impact, user experience, technical complexity, KPIs, and operational risks - Strong communication and stakeholder-management skills - Ability to negotiate with the platform provider, escalate issues, structure requests, document agreements, and drive tasks through to completion - Experience working with multiple stakeholders simultaneously, including: - CRM; - marketing; - affiliates; - analytics; - design; - legal and compliance; - customer support; - payments; - platform and account teams - Ability to work in an environment with uncertainty, incomplete documentation, and changing priorities - Working proficiency in English for written communication, meetings, task-setting, follow-ups, and documentation RESPONSIBILITIES - Drive the product development of iGaming projects built on the SoftSwiss platform - Build and maintain product roadmaps across projects, covering: - new features; - product improvements; - operational changes; - product experiments; - UX optimizations; - platform requests - Analyze product metrics and identify growth opportunities across: - registration; - deposits; - repeat deposits; - player activity; - retention; - GGR and NGR; - CRM funnels - Work directly with SoftSwiss: - create and submit tasks; - clarify technical limitations; - agree on solutions; - control delivery timelines; - validate implementation; - document outcomes - Prepare high-quality requirements for the platform and internal teams, including: - problem statements; - business value; - expected behavior; - acceptance criteria; - checklists; - edge cases - Manage the launch of new product features from ideation and prioritization through testing, release, metrics monitoring, and post-release analysis - Improve key user flows, including: - registration and login; - email and phone verification; - KYC; - deposits and withdrawals; - bonus activation; - wagering; - player communication; - game discovery - Work with bonus logic and CRM mechanics, including: - welcome offers; - deposit bonuses; - free spins; - cashback; - loyalty mechanics; - wagering requirements; - segmentation; - trigger-based campaigns - Monitor the quality of the user experience across desktop and mobile, including: - navigation; - lobby structure; - visibility of key actions; - payment flows; - error messages; - banners and pop-ups; - SEO blocks; - onboarding prompts - Coordinate tasks between internal teams and the external platform, including product, CRM, marketing, analytics, affiliates, customer support, payments, risk/fraud, design, and platform account/project managers - Conduct regular competitor and market analysis across key GEOs, identify product best practices, and adapt them to the platform’s capabilities - Control release quality and ensure that changes: - work correctly; - do not disrupt critical user flows; - meet the original requirements - Escalate blockers and risks when the platform cannot provide the required timeline, solution, or implementation quality NICE TO HAVE - Hands-on experience with the SoftSwiss ecosystem, including one or more of the following: - Casino Platform; - Sportsbook; - Bonus API; - Jackpot Aggregator; - Game Aggregator; - Affilka; - CRM or retention tools; - related modules - Experience launching iGaming projects from scratch or preparing a brand for launch or soft launch - Experience working with Tier-1 markets - Understanding of affiliate business models, redirect logic, domain strategy, traffic sources, and the impact of traffic quality on product metrics - Experience working with: - payment providers; - SMS providers; - KYC providers; - anti-fraud tools; - CRM/CDP platforms; - Smartico or similar player-engagement platforms - Understanding of SEO-related tasks for iGaming products, including SEO blocks, landing pages, indexing, content visibility, and product/UX trade-offs - Experience with dashboards and analytics tools such as Tableau, Power BI, or GA4 WHAT WE OFFER - The opportunity to work with several iGaming projects in an active stage of development - A platform-based operating model where the main technical implementation is handled by SoftSwiss, requiring strong task definition, delivery control, and effective collaboration with an external team - Direct influence on product metrics, UX, retention, monetization, and the operational efficiency of the projects - Cross-functional collaboration with CRM, marketing, analytics, affiliate, customer support, payments, risk/fraud, and platform teams - A high level of independence and ownership of results - Work format: remote or hybrid in Cyprus - Employment type: full-time If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: Yerevan, Armenia Description We are looking for a data-driven Business Data Analyst to join our Partner Performance Analytics Team. This role is focused on analyzing partner business performance, evaluating bonus campaign effectiveness, identifying growth opportunities and business risks, and providing actionable recommendations that drive partner success and company profitability. The ideal candidate combines strong analytical capabilities with business thinking and has experience working with performance metrics, commercial analysis, and data-driven decision-making. Experience within iGaming, online betting, casino, or retention analytics environments is highly preferred. Responsibilities Analyze partner performance across key business metrics and identify growth opportunities and performance gaps Monitor and evaluate the effectiveness of bonus campaigns, promotional activities, and retention initiatives Assess the impact of bonuses and promotional costs on revenue, profitability, retention, and player behavior Identify trends, anomalies, risks, and underperforming business areas through data analysis Prepare actionable recommendations to improve partner performance and business outcomes Translate complex data into clear business insights and recommendations Requirements 2+ years of experience in Business Analytics, Business Intelligence, Commercial Analytics, Performance Analytics, or a similar role Strong analytical and problem-solving skills Advanced SQL knowledge Experience with Power BI or similar tools Experience working with large datasets and performance reporting Ability to identify business drivers behind data trends Upper-Intermediate or higher English level Experience in iGaming, Sportsbook, Casino, Affiliate, CRM, Retention, or Loyalty Analytics Understanding of key iGaming metrics such as GGR, NGR, Retention, Bonus Cost, Conversion, Churn, ARPU, and LTV Experience analyzing promotional and bonus campaign performance Familiarity with A/B testing and performance optimization methodologies Knowledge of Python is a plus Ability to transform data into actionable recommendations Strong attention to detail Ability to work independently in a fast-paced environment Focus on business impact rather than reporting only

Задачи: — Координация сроков выпуска продуктов, зависимостей и распределения ресурсов по портфелю продуктов. — Управление изменениями и рисками через оценку сдвигов графика и ведение подробных журналов изменений для обеспечения темпа поставок. — Оптимизация коммуникаций с клиентами и заинтересованными сторонами, включая выпуск заметок, матрицы совместимости и руководство для администраторов. — Администрирование LMS и платформ сертификации, управление полным циклом публикации учебного контента и сертификатов. — Разработка операционных дашбордов с использованием Power BI для отслеживания вовлеченности обучающихся, ключевых показателей проектов и состояния выпусков. — Внедрение AI-поддерживаемых рабочих процессов для ускорения процессов документации и отчетности. Требования: — Опыт работы в управлении проектами или PMO не менее 5 лет, желательно в SaaS или технологической среде. — Подтвержденный опыт управления графиками релизов и глубокое понимание жизненного цикла разработки программного обеспечения (SDLC). — Владение Jira, Aha, Power BI и Zendesk. — Опыт администрирования LMS и настройки систем сертификации и интеграций. — Свободное владение английским языком на уровне бизнеса, сильные навыки написания и структурирования отчетов о статусе. — Обязательное проживание или готовность к переезду в Мадрид, Испания. Преимущества: — Навыки проектирования эффективных AI-подсказок и AI-поддерживаемых рабочих процессов для оптимизации повторяющихся задач. — Опыт управления проектами в области обучения или образования. Условия: — Гибридный режим работы с офисами в центре Мадрида рядом со стадионом Бернабеу. — Неограниченный оплачиваемый отпуск плюс 23 стандартных праздничных дня, гибкий график. — Полностью оплачиваемая частная медицинская страховка (Sanitas) и ежедневные ваучеры на питание (11 EUR). — Полный пакет релокации для кандидатов из других стран. — Субсидия на абонемент в спортзал (до 25 EUR/месяц) и гибкая компенсация на уход за детьми и общественный транспорт. — Возмещение расходов на курсы английского и испанского языков (до 50%).

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London. As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. WHAT YOU'LL DO - Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. - Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. - Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. - Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. - Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. - Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. - Establish and uphold best practices for data management - versioning, access control, security, and compliance. WHAT WE'RE LOOKING FOR - 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. - Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. - Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. - Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. - Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. - Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. - Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. - Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. - Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have - ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. - Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. - Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. - BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. - Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. - Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Canada Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Germany Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Spain Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across e The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Israel Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Требования: — Хорошее понимание анализа данных, статистики и отчетности — Владение Excel, Google Sheets и методами визуализации данных — Базовые знания SQL для запросов к данным и управления базами данных — Знакомство с Power Bl, Tableau, Looker Studio или аналогичными BI-инструментами — Понимание процессов очистки данных, трансформации данных и валидации данных — Знание Python, R или других аналитических инструментов является плюсом