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Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Analytics Engineer San Mateo, CA Role Overview Sony Interactive Entertainment LLC seeks a Staff Analytics Engineer in San Mateo, CA to design and implement curated analytics data products (gold datasets) with clear ownership, versioning, and governed definitions to support multiple stakeholder groups. Requirements Master’s degree in Computer Science or related field or equivalent, and six (6) years of experience serving as an analytics/business intelligence engineer; performing comprehensive data analysis of functional and business requisites utilizing Python, SQL, Tableau, MicroStrategy, and Databricks; collaborating with data scientists and engineering groups to ensure seamless and accurate data processing; pioneering and enacting data modeling strategies and operationalizing novel experiment designs and key performance indicators (KPIs) to refine data models; conducting statistical analyses to evaluate and quantify operational and technical challenges, drawing input from both end-users and partner teams; harnessing advanced Data Science approaches to devise and oversee experiments to enhance model performance and generate insightful recommendations; and leading the development of scalable BI solutions using platforms including MicroStrategy and Tableau, from building the semantic layer or data modeling to reporting. Telecommuting and/or working from home may be permissible pursuant to company policies. Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $223,546.00 – $300,100.00/year Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model execution performance, and build scalable data foundations for training, evaluation, and real-time decisions. What You’ll Be Doing Improve model inference latency, throughput, resource utilization, and cost. Profile the full prediction path —from feature retrieval and preprocessing to model execution — and deliver measurable improvements without unacceptable model-quality regressions. Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions. Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies, addressing data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost. Connect offline and online feature pipelines, ensuring point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills. Evolve reliable feature services and data integrations supporting risk models and decision systems. Set technical direction, mentor engineers, and lead delivery across ML, data engineering, cloud infrastructure, security, and product teams. What We Look For In You A record of building and operating large-scale distributed systems, ML infrastructure, or data platforms, with technical ownership across teams. Hands-on experience optimizing production model performance, supported by measurable improvements in latency, throughput, utilization, or cost. Deep understanding of Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management. Experience with the model lifecycle, including training/serving integration, validation, deployment, observability, and rollback. Strong Python, SQL, and at least one backend or systems language such as Java, Scala, Go, or C++. Ability to turn ambiguous requirements into clear architecture and deliver maintainable systems through hands-on engineering and technical leadership. Nice to Haves SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms. Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton. Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores. Fraud detection or financial risk systems. Fluency in Mandarin Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to 321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary: The AI Engineering team builds and operates AI Platform — the common foundation every engineering team uses to ship AI capabilities. The team delivers the shared infrastructure, reference patterns, and guardrails that let software engineers across the company build AI agents, MCP servers, and GenAI solutions without reinventing the foundations: model access, orchestration, evaluation, observability, and responsible AI controls. Working in close partnership with product and engineering teams, it turns proven patterns into platform capabilities that compound across the product portfolio. Job Summary: The Senior AI Architect is the senior technical leader for PointClickCare’s AI Platform, owning the architecture that enables software engineers across the company to build AI agents, MCP servers, and AI solutions on a common foundation. This role is an enabler, not a product owner: its output is a platform other teams build on, and the patterns, standards, and guardrails that make those teams faster. The Senior AI Architect works closely with product counterparts to review product roadmaps and translate them into architectural designs and decision documents and guides the AI Engineering team in building a robust, scalable agentic platform for the future of PointClickCare. Key responsibilities: Design and evolve the architecture of PointClickCare’s AI Platform — the agentic runtime, MCP integration layer, model gateway, and evaluation and observability services that engineering teams build on ensuring it scales with adoption across the product portfolio. Guide the AI Engineering team through architectural decisions, design reviews, and hands-on technical mentorship, raising the bar for how the platform is designed, built, and operated. Partner with product counterparts to review product roadmaps, translate upcoming AI capabilities into architectural requirements, and author architecture documents and decision records that de-risk delivery Enable software engineers across PointClickCare to build AI agents, MCP servers, and solutions on the platform by codifying reference architectures, reusable patterns, and paved-road templates — and by providing direct architectural guidance to consuming teams. Establish platform standards for security, responsible AI, evaluation, and observability, and run architectural review processes that keep solutions built on the platform consistent, compliant, and production-ready. Minimum qualifications and Skills: 12+ years of software engineering and platform architecture experience with deep cloud expertise (Azure preferred), including 5+ years focused on AI/ML infrastructure and GenAI solutions at scale Hands-on expertise with agentic systems — agent frameworks, multi-agent orchestration, MCP (Model Context Protocol), tool use, RAG, vector databases, and production LLMOps Proven track record designing internal platforms that other engineering teams build on, including developer experience, APIs and SDKs, and self-serve patterns Strong architectural breadth across cloud-native systems, distributed systems, data platforms, and security architecture Demonstrated ability to produce high-quality architecture documents and decision records, and to communicate design trade-offs clearly to engineering and product audiences Preferred qualifications and skills: Experience with the Azure AI stack (Azure OpenAI, AKS, APIM) and the Databricks lakehouse (Unity Catalog, model serving) Background in healthcare technology platforms or clinical workflows Experience guiding engineering teams as a senior architect or technical lead within a platform organization Expertise in advanced agentic patterns including multi-agent orchestration, tool and MCP server design, agent evaluation, and model fine-tuning pipelines Deep knowledge of AI governance, responsible AI practices, and model risk management in regulated environments   #LI-Av1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $183,000-$229,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Remote or Mississauga Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary: The AI Engineering team builds and operates AI Platform — the common foundation every engineering team uses to ship AI capabilities. The team delivers the shared infrastructure, reference patterns, and guardrails that let software engineers across the company build AI agents, MCP servers, and GenAI solutions without reinventing the foundations: model access, orchestration, evaluation, observability, and responsible AI controls. Working in close partnership with product and engineering teams, it turns proven patterns into platform capabilities that compound across the product portfolio. Job Summary: The Senior AI Architect is the senior technical leader for PointClickCare’s AI Platform, owning the architecture that enables software engineers across the company to build AI agents, MCP servers, and AI solutions on a common foundation. This role is an enabler, not a product owner: its output is a platform other teams build on, and the patterns, standards, and guardrails that make those teams faster. The Senior AI Architect works closely with product counterparts to review product roadmaps and translate them into architectural designs and decision documents and guides the AI Engineering team in building a robust, scalable agentic platform for the future of PointClickCare. Key responsibilities: Design and evolve the architecture of PointClickCare’s AI Platform — the agentic runtime, MCP integration layer, model gateway, and evaluation and observability services that engineering teams build on ensuring it scales with adoption across the product portfolio. Guide the AI Engineering team through architectural decisions, design reviews, and hands-on technical mentorship, raising the bar for how the platform is designed, built, and operated. Partner with product counterparts to review product roadmaps, translate upcoming AI capabilities into architectural requirements, and author architecture documents and decision records that de-risk delivery Enable software engineers across PointClickCare to build AI agents, MCP servers, and solutions on the platform by codifying reference architectures, reusable patterns, and paved-road templates — and by providing direct architectural guidance to consuming teams. Establish platform standards for security, responsible AI, evaluation, and observability, and run architectural review processes that keep solutions built on the platform consistent, compliant, and production-ready. Minimum qualifications and Skills: 12+ years of software engineering and platform architecture experience with deep cloud expertise (Azure preferred), including 5+ years focused on AI/ML infrastructure and GenAI solutions at scale Hands-on expertise with agentic systems — agent frameworks, multi-agent orchestration, MCP (Model Context Protocol), tool use, RAG, vector databases, and production LLMOps Proven track record designing internal platforms that other engineering teams build on, including developer experience, APIs and SDKs, and self-serve patterns Strong architectural breadth across cloud-native systems, distributed systems, data platforms, and security architecture Demonstrated ability to produce high-quality architecture documents and decision records, and to communicate design trade-offs clearly to engineering and product audiences Preferred qualifications and skills: Experience with the Azure AI stack (Azure OpenAI, AKS, APIM) and the Databricks lakehouse (Unity Catalog, model serving) Background in healthcare technology platforms or clinical workflows Experience guiding engineering teams as a senior architect or technical lead within a platform organization Expertise in advanced agentic patterns including multi-agent orchestration, tool and MCP server design, agent evaluation, and model fine-tuning pipelines Deep knowledge of AI governance, responsible AI practices, and model risk management in regulated environments   #LI-AV1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $161,000-$201,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: IRL - Dublin (dbt) 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 Sales Development Representative (SDR) to join our Dublin office and help accelerate pipeline generation. This role is ideal for someone with 9+ months of experience in technology sales who thrives in outbound prospecting, account research, and consultative discovery conversations. Experience selling into data, analytics, cloud, or infrastructure teams is a strong plus.As an BDR you’ll identify and engage target accounts, multi-thread into strategic organizations, and generate qualified pipeline through personalized outreach across phone, email, LinkedIn, and video. You’ll work directly with modern data leaders and technical buyers at fast-growing and enterprise organizations evaluating cloud data infrastructure, analytics modernization, AI initiatives, and data integration strategies. 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 3 days in the office each week to connect and build as a team. Technologies You’ll Use Salesforce, Outreach, LinkedIn Sales Navigator, ZoomInfo, Lusha, Nooks, ChatGPT and AI prospecting tools, Gong, Google Workspace, Slack, Vidyard / Loom What You’ll Do Generate qualified pipeline through inbound and outbound prospecting across target accounts Research accounts, industries, and personas to craft personalized outreach Partner closely with Sales Directors to build account strategies and prioritize opportunities Execute multi-channel outbound campaigns using phone, email, LinkedIn, and video Conduct discovery conversations to uncover business challenges, technical pain points, and initiatives Engage data, analytics, engineering, IT, RevOps, and executive personas Maintain accurate activity, contact, and opportunity data within Salesforce Collaborate cross-functionally with Marketing, Partnerships, and Sales leadership Leverage AI tools and sales technologies to improve prospecting efficiency and messaging quality Consistently achieve and exceed activity, meeting generation, and pipeline targets Skills We’re Looking For 9+ months of experience in SaaS, cloud, infrastructure, or technology sales development Strong written and verbal communication skills with the ability to engage technical and business stakeholders Ability to learn and articulate technical concepts related to data, analytics, cloud, and AI infrastructure Experience with outbound prospecting and multi-threaded account engagement Strong organizational skills and ability to manage multiple accounts and priorities simultaneously Comfortable using AI tools such as ChatGPT or sales engagement platforms to improve research, messaging, and productivity Coachable, curious, resilient, and motivated by a high-performance sales environment German Speaker (required) Bonus Skills​ Experience selling into data, analytics, engineering, or IT organizations Familiarity with modern data stack technologies such as Snowflake, Databricks, dbt, or cloud data warehouses Experience using Outreach, Sales Navigator, ZoomInfo, or Gong Previous experience working in a high-growth SaaS environment Demonstrated success exceeding outbound pipeline generation targets #LI-LA1 #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 €45.500 — €55.300 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: Krakow; Berlin; Manchester; Amsterdam; Barcelona; Paphos Workplace: remote About Finom Finom is growing fast, and Finance needs data that grows with it. As our Lead Analytics Engineer for Finance, you'll be the data partner for treasury, reconciliation and accounting. You'll also support our corporate finance and investor reporting work together with the team's existing data partner. You'll build and scale the data model behind these areas, set standards, integrate the systems Finance relies on and bring in automation, including agents, where it saves real work This isn't a "build what's in the ticket" role. You'll learn how Finance works and why, understand where the value is, and work with the team on how their processes run, proposing improvements and the data and tools to support them. You'll report to the Head of Central Data What You Will Be Doing - Partner with the Treasury, Reconciliation and Accounting teams on their processes, priorities and how data supports them. - Build out treasury data: positions, cash flows and liquidity, as trusted data products the team can rely on day to day. - Build and scale reconciliation, so that matching, breaks and exceptions are handled systematically rather than by hand. - Support Accounting with the data, checks and integrations behind their close and day-to-day work. - Support our corporate finance data partner on corporate finance and investor reporting, working from one shared model and set of definitions. - Design and evolve the Finance data model, entities and metrics, with tests, lineage and documentation, so the team can reuse and extend them. - Set data standards and quality checks for Finance data, and build integrations with the systems Finance uses. - Bring automation and agents into Finance workflows where they remove recurring manual work. - Look at how Finance processes run today, identify what can work better and connect each piece of data work to its business cost and value. How We Work You'll have high autonomy. You choose the tools and the approach, including trialling new vendors and open-source solutions. Sign-off is needed in two cases. The first is architecture: whether a solution scales, holds across use cases and growing volumes, and runs without constant support. The second is anything that feeds high-stakes decisions. Priorities are set by final business impact. Who You Are - You've worked in or closely with Finance: in a finance team, as a finance data partner, or in data work centred on treasury, reconciliation, accounting or FP&A. - You understand how a finance function works: the close, cash and liquidity, reconciliations and the reports that come out of them. - You write expert SQL and have strong dimensional or semantic data modelling skills. - You've built metrics and data products that other teams depend on. - You have ETL and data warehouse or lakehouse experience, including onboarding sources end to end. - You choose precision over speed when the two conflict. - You work like a consultant to the business: you understand how a process works, propose solutions and frame them in terms of business value. Nice to Have - Databricks and Unity Catalog - Experience integrating ERP, accounting, banking or treasury systems - Experience with workflow automation or agents in finance processes - CI/CD, orchestration and infrastructure-as-code - Background in fintech, banking or payments How You'll Grow In your first months you get to know Finance, the model, the stack and your stakeholders. By six months you're self-sufficient and make judgement calls on scope and design without escalating. From there, you set long-term goals together with your Finance stakeholders, own the data roadmap for treasury, reconciliation and accounting, and mentor others on analytics-engineering practice. The Team We're a small central team that works with every function, and Finance is our primary partner. We use a modern stack, you're free to try new tools, and there are incentives for driving change. AI assistants take on routine work so people can focus on harder problems. We work in English, think long term, and build data that functions keep developing after we deliver it

Location: Spain; Germany; United Kingdom; Poland; Cyprus; Netherlands Workplace: remote Senior Analytics Engineer (Central Data) Central Data owns Finom's central data model, the certified metrics and the rails through which the company and its AI agents use data. As our Senior Analytics Engineer, you'll keep developing that model and build the tooling that connects it to the AI tools used across the company, so people and agents can get more out of the data. You'll work directly with business functions on their processes. You'll also use LLMs where they do the job better than code, such as classification, extraction and translation, evaluated like any other pipeline step. This isn't a "build what's in the ticket" role. You'll work with stakeholders on how their processes run, suggest improvements and connect data work to business cost and value. You'll report to the Head of Central Data. What You Will Be Doing - Design and evolve entities, metrics and data products in the central model, with tests, lineage and documentation, so that their consumers can reuse and extend them - Build and maintain pipelines, onboard new data sources on your own, keep CI/CD and data quality checks running, and take part in migrations - Interview stakeholders, understand how their processes work and scope what they need. Connect each piece of data work to its business cost and value - Take part in recurring reporting, including regulatory and audit cycles, reconciliations and data requests from business functions - Build LLM steps into reporting and metric pipelines, such as translation, classification, basic aggregation and preparing unstructured data. Evaluating output quality is part of delivery - Expose the semantic layer to internal tools and agents through MCP and APIs, working with engineering on shared standards - Prepare data for agentic tools, company-wide AI harnesses and external recipients from the same certified definitions, so it is reproducible and traceable back to the model How We Work You'll have high autonomy. You choose the tools and the approach, including trialling new vendors and open-source solutions. Sign-off is needed in two cases. The first is architecture: whether a solution scales, holds across use cases and growing volumes, and runs without constant support. The second is anything that feeds high-stakes decisions. Priorities are set by final business impact. Who You Are - You write expert SQL and have strong dimensional or semantic data modelling skills - You write working Python, with tests and version control - You've built metrics and semantic layers - You have ETL and data warehouse or lakehouse experience, including onboarding sources end to end - You've used LLMs hands-on in production data work, for example classification, extraction, translation, or agents that other people use - You work like a consultant to the business: you understand how a process works, propose solutions and frame them in terms of business value Nice to Have - Databricks and Unity Catalog - Hands-on experience with, or a solid understanding of, MCP, tool calling, tracing and evals for LLM applications and agents - Workflow automation tools such as n8n - CI/CD, orchestration and infrastructure-as-code - Background in fintech or banking (transaction monitoring, treasury, reconciliation, regulatory data) or another business with a high-volume operational flow How You'll Grow In your first months you get to know the model, the stack and your stakeholders. By six months you're self-sufficient and make judgement calls on scope and design without escalating. From there, you set long-term goals together with your stakeholders, own a domain roadmap and mentor others on semantic-layer and analytics-engineering practice. What This Role Is Not - Not a business analyst role without technical depth - Not an engineer who builds only what's in the ticket - Not ML research or model training - Not platform infrastructure, which belongs to our Platform team - Not a role free of routine. Recurring work is part of the job, and so is reducing it The Team We're a small central team that works with every function, and Finance is our primary partner. We use a modern stack, you're free to try new tools, and there are incentives for driving change. AI assistants take on routine work so people can focus on harder problems. We work in English, think long term, and build data that functions keep developing after we deliver it.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $114,000 — $143,000 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, Madison, WI Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,000 — $190,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: London, UK We are looking for a Senior Python Engineer who writes production code every day. You will build new components and refactor business-built tools into well-engineered applications. You will work directly with portfolio managers to understand how the tools are used and what must not break. This is a 100% hands-on role, not an advisory or architectural role. This is a hybrid position requiring onsite presence at the client’s London office three days per week. Duration: 12+ months Design, develop, and maintain production-grade Python applications and APIs. Refactor and modernize Python/Excel tools built by business teams by adding tests, structure, security, and observability. Work directly with portfolio managers and front-office users to clarify requirements and validate results. Build data-intensive and analytics features using SQL and cloud data platforms. Contribute to CI/CD, automated testing, and code reviews. Apply AI-assisted development practices where they improve speed and quality. 5+ years of hands-on experience in production Python development. Python is the main language in your current role. ETF or investment front-office experience (asset management, investment banking, or capital markets). At a minimum, you have worked directly with portfolio managers or traders. Experience modernizing legacy or business-built applications. Strong SQL skills and experience with cloud platforms (AWS preferred). Experience with API design and integration, automated testing, CI/CD, and Git. Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders. Ability and willingness to work on-site at the client’s London office three days per week. Experience with fixed-income ETFs, portfolio management, or investment analytics. Experience with Aladdin, BNY, or comparable investment platforms. Experience with Snowflake, Redshift, Databricks, or BigQuery. Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.

Location: United Kingdom; Netherlands; Spain; Poland; Cyprus; Germany Workplace: remote About Finom Finom is growing fast, and Finance needs data that grows with it. As our Lead Analytics Engineer for Finance, you'll be the data partner for treasury, reconciliation and accounting. You'll also support our corporate finance and investor reporting work together with the team's existing data partner. You'll build and scale the data model behind these areas, set standards, integrate the systems Finance relies on and bring in automation, including agents, where it saves real work This isn't a "build what's in the ticket" role. You'll learn how Finance works and why, understand where the value is, and work with the team on how their processes run, proposing improvements and the data and tools to support them. You'll report to the Head of Central Data What You Will Be Doing - Partner with the Treasury, Reconciliation and Accounting teams on their processes, priorities and how data supports them. - Build out treasury data: positions, cash flows and liquidity, as trusted data products the team can rely on day to day. - Build and scale reconciliation, so that matching, breaks and exceptions are handled systematically rather than by hand. - Support Accounting with the data, checks and integrations behind their close and day-to-day work. - Support our corporate finance data partner on corporate finance and investor reporting, working from one shared model and set of definitions. - Design and evolve the Finance data model, entities and metrics, with tests, lineage and documentation, so the team can reuse and extend them. - Set data standards and quality checks for Finance data, and build integrations with the systems Finance uses. - Bring automation and agents into Finance workflows where they remove recurring manual work. - Look at how Finance processes run today, identify what can work better and connect each piece of data work to its business cost and value. How We Work You'll have high autonomy. You choose the tools and the approach, including trialling new vendors and open-source solutions. Sign-off is needed in two cases. The first is architecture: whether a solution scales, holds across use cases and growing volumes, and runs without constant support. The second is anything that feeds high-stakes decisions. Priorities are set by final business impact. Who You Are - You've worked in or closely with Finance: in a finance team, as a finance data partner, or in data work centred on treasury, reconciliation, accounting or FP&A. - You understand how a finance function works: the close, cash and liquidity, reconciliations and the reports that come out of them. - You write expert SQL and have strong dimensional or semantic data modelling skills. - You've built metrics and data products that other teams depend on. - You have ETL and data warehouse or lakehouse experience, including onboarding sources end to end. - You choose precision over speed when the two conflict. - You work like a consultant to the business: you understand how a process works, propose solutions and frame them in terms of business value. Nice to Have - Databricks and Unity Catalog - Experience integrating ERP, accounting, banking or treasury systems - Experience with workflow automation or agents in finance processes - CI/CD, orchestration and infrastructure-as-code - Background in fintech, banking or payments How You'll Grow In your first months you get to know Finance, the model, the stack and your stakeholders. By six months you're self-sufficient and make judgement calls on scope and design without escalating. From there, you set long-term goals together with your Finance stakeholders, own the data roadmap for treasury, reconciliation and accounting, and mentor others on analytics-engineering practice. The Team We're a small central team that works with every function, and Finance is our primary partner. We use a modern stack, you're free to try new tools, and there are incentives for driving change. AI assistants take on routine work so people can focus on harder problems. We work in English, think long term, and build data that functions keep developing after we deliver it

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your mission The Guardrails service empowers organizations to confidently deploy autonomous agents by embedding protection mechanisms that govern agent behavior, data access, and decision boundaries. Through policy enforcement, monitoring, and adaptive controls, we help safeguard users and systems while maintaining the agility and intelligence that make agentic automation transformative. Our mission extends beyond UiPath Agents — we're evolving Guardrails into a scalable, platform-wide capability that brings consistent governance and protection across the broader UiPath ecosystem. By combining innovation, security, and user trust, we enable customers to explore the full potential of automation with confidence and control WHAT YOU'LL DO AT UIPATH - Plan, design, develop, and test software systems or applications for enhancements and new features, including cloud-based tools. - Collaborate with cross-functional teams across UiPath to design and engineer product areas and services. - Ensure technical deliverables meet expectations for quality, security, scalability, modifiability, extensibility, and testability. - Contribute to the establishment of effective and agile engineering practices. - Identify performance bottlenecks and bugs; implement solutions to address them. - Plan feature development, design system components, and contribute to the engineering roadmap. - Maintain code quality, organization, and automation. WHAT YOU'LL BRING TO THE TEAM - 5+ years of experience in a software engineering role using high-level languages (C#, C++, Java, Python, Rust, etc.) - Strong grasp of object-oriented programming and architectural design patterns. - Knowledge of multithreading, synchronization, and asynchronous programming. - Solid understanding of data structures and algorithms. - Ability to write well-tested, high-quality code. - Familiarity with the latest versions of .NET and C# features. - Experience with other languages and technologies: C++, NodeJS, JavaScript, Angular, XAML. - Cloud services experience with one or more of: Azure (preferred), AWS, GCP. - Experience with data processing platforms and ETL/ELT pipelines (e.g. Snowflake, Azure Data Factory, Databricks, Spark, dbt). - Familiarity with modern data warehousing concepts, dimensional modeling, and analytics engineering best practices. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Galaxy is looking for a VP Technical Program Manager to drive cross-functional software delivery, align priorities, manage resourcing, and unblock engineering teams.

3+ лет опыта работы в Data Engineering. Сильные навыки SQL и производственного уровня Python.

We’re looking for a Senior DataOps Engineer to help operate, scale, and improve the data platforms that support Oportun’s analytics, engineering, and business teams. This role will focus on Databricks, AWS, data pipelines, databases, observability, automation, and production support.

Location: Seattle; New York City; San Francisco Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO We’re looking for a Product Marketer who lives at the intersection of words, product, and customers. You’ll take what our engineers build and turn it into stories that make developers and data teams lean in. You’ll own positioning and messaging, write the pages people actually read, and make sure our sales team walks into every conversation ready. This role can be based in our Seattle, San Francisco or New York City office. Key responsibilities - Write. A lot. Website copy, landing pages, launch posts, product one-pagers, emails. You care about every word and you know when to cut. - Help shape how we tell our story. Work alongside product, sales, and leadership on who we’re for, why we’re different, and how to say it in a way a data engineer won’t roll their eyes at... then keep it fresh as the product and market evolve. - Build the web and the artifacts. Ship landing pages, comparison pages, demos and interactive assets... ideally hands-on with AI tools rather than waiting in a queue for design and eng. - Arm the sales team. Create battlecards, pitch decks, objection handling, and competitive takes that AEs and Customer Engineers actually use in deals. Sit in on calls and bring what you hear back into the messaging. - Run launches. Plan and ship product launches end to end with product, engineering, DevRel and growth. - Stay close to customers and the market. Talk to users, track competitors (Snowflake, Databricks, BigQuery and friends), and turn what you learn into sharper stories. - Work AI-first. Use Claude and other tools to research, draft, prototype and ship. Help set the bar for how marketing at MotherDuck uses AI. WHAT YOU BRING - 3 to 10 years in product marketing, ideally at a B2B software or developer-focused company - Excellent writing. Clear, punchy, and specific... you can make a technical idea land in one sentence - A real knack for positioning: you've taken a product to market and can show the before and after - Experience building web pages and landing pages, and comfort shipping them yourself with modern tools - A track record of sales enablement that sales teams actually used - Genuine curiosity about technical products. You don't need to write SQL for a living, but you want to understand how the thing works - AI fluency. You already use AI daily to do better work, and you're excited to push that further - A bias for action. You'd rather ship a good version this week than a perfect one next quarter   WHAT PEOPLE SHOULD BE SAYING IF YOU’RE DOING DUCKING AWESOME - “I sent the new landing page to a prospect and they replied ‘this is exactly our problem.’ Didn’t have to explain a thing.” - “Honestly, I understand our own feature better after reading the launch post.” - “The battlecard came up in the call and I had the answer before they finished the question.” - “They showed me a workflow they built with AI last week and now half of marketing uses it.” WHAT WE PROVIDE - Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success. - Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 80% coverage for dependents (because we care about your whole nest). - Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond. - 401k plan – because even ducks need to plan for the future. - Flexible work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time. Specifics are role dependent and as agreed upon with your manager   WHY MOTHERDUCK We're a ~110-person, Series B team building on one of the fastest-growing open source projects in data. We're small enough that your work shows up on the website next week, and growing fast enough that there's always something new to figure out. How we work comes down to four values: - Thoughtfulness. We care about the people we work with and the craft behind what we ship. - Flexibility. Plans change. We adapt without drama. - Unorthodoxy. We question the default way of doing things, including in marketing. - Agency. We own outcomes and don't wait for permission. PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: Remote, Massachusetts, 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 Boston metro area. 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 80% base salary and 20% 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) $230,630.87 — $288,288.88 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: Poland; Czechia; Bulgaria; Croatia; Romania; France About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their are building a production-grade AI-assisted KYC / Customer Due Diligence platform for an international insurance environment. We are looking for an experienced Backend / Full-Stack Engineer to build the services connecting the AI-driven CDD platform with enterprise systems. The role requires strong hands-on experience across C#/.NET and Python , with a focus on APIs, enterprise integrations, asynchronous workflows, containerization, Azure DevOps, and production reliability. CONTRACT: B2B or B2C contract COMMITMENT: Full-time, 3-4 months contract with possibility of extension or getting on new projects LOCATIONS: Remote, EU-based candidates START: ASAP PROCESS: Initial qualification followed by client interviews Responsibilities Build middleware APIs connecting enterprise applications, data platforms, and legacy systems. Develop and maintain ASP.NET Core Web APIs and Python services. Extend AI-driven service modules and connector frameworks. Implement reliable asynchronous workflows , callbacks, retries, and safe write-back mechanisms. Integrate with REST APIs, messaging systems, queues, databases, and enterprise platforms. Package and deploy services using Docker and CI/CD pipelines. Support deployments to Azure / Databricks-based environments. Write and maintain unit and integration tests . Troubleshoot issues found during testing and in production. Contribute to a business-critical platform where uptime, speed, and correct results are essential Requirements Strong hands-on experience with C# / .NET and ASP.NET Core Web APIs . Practical experience with Python , ideally FastAPI or a comparable framework. Experience building and integrating REST APIs and enterprise services. Experience with messaging / queues and asynchronous integration patterns . Strong experience with Docker, Git, and Azure DevOps CI/CD . Experience writing unit and integration tests for production services. Ability to work across modern cloud services and legacy enterprise systems. Fluent English and ability to work remotely within the EU.