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Location: Remote Workplace: Remote About Eneba At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT YOUR TEAM Our Customer Support operation is scaling and becoming more automated. As our first dedicated Customer Support Data Analytics Engineer, you’ll sit in Operations and work hand in hand with the Customer Support team, the Head of Operations, Product, Engineering, Payments and Risk. You’ll explain why customers contact us, measure what self-service and automation actually resolve, and help the team decide what to fix first based on evidence. You’ll work with Databricks (SQL), Kustomer, QuickSight, Mixpanel, Jira and Slack, on top of an internal data layer with Claude integrated. Current focus: AI and automation in support, and building and optimising our support metric stack. RESPONSIBILITIES - Reusable data models: Build and maintain dbt models on Databricks across bronze, silver and gold layers, with tests, column documentation and incremental logic, so the next person can build on them. - Data mapping and feasibility: Know what data we have, what is missing and how it connects. Join sources that were never designed to be joined, audit contact tagging so reporting stays reliable, and judge early whether a requested metric is buildable. If it isn’t, say exactly which data is missing and what it would take to get it. - Metric design: Turn vague requests from the Customer Support team into exact metric definitions, such as repeat contact, automated deflection rate and cost per contact, and prove each one against raw data before it ships. - Dashboards and reporting: Build dashboards end to end in QuickSight and Omni (datasets, calculated fields, filters). Deliver weekly support performance packs with actionable insights and thresholds for ops managers and leadership. - Daily operations pulse: Monitor volumes, backlog, SLAs and CSAT to flag spikes early. Investigate “this number looks wrong” cases by tracing a visual back through the model to the source table. - Contact-driver and feedback analysis: Identify why customers contact us by product, spot growing issues, and analyse QA and customer feedback to surface coaching themes and process gaps. - Automation and self-service: Measure how well AI, bots and help content resolve issues, including repeat contacts and CSAT. - Root-cause partnership: Partner with Product, Payments and Risk to quantify the impact of issues and track fixes. - Planning input: Help forecast contact volume and capacity needs. REQUIREMENTS - 3+ years of experience as a Data Analytics Engineer in Customer Support, contact-centre or CX environments. - Strong SQL, dbt and hands-on experience with BI and reporting tools (we use QuickSight; Power BI, Looker or similar is fine). - Solid knowledge of customer support metrics and contact-driver analysis: CSAT, FCR, handling time, repeat contact, deflection. - Ability to turn insights into operational changes with non-technical stakeholders. - Curiosity about why customers get in touch and what would stop the issue from happening again. You care more about changing outcomes than producing dashboards. - Good written and spoken English (proficiency preferred). NICE TO HAVE - Python or text analytics on ticket data. - Experience with a support CRM’s data - Forecasting experience. - Experience evaluating chatbots or AI agents. - Background in digital goods or gaming. What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product. *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.   *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice #LI-DNP

Location: United Kingdom; Spain Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote, anywhere in Spain or the UK. Contract: Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain) UK: Full-time, permanent Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most: Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom We’re looking for a Senior Analytics Engineer to help shape how data is modeled and governed at Airalo, transforming first- and third-party data into clean, trusted, well-documented datasets that power decisions across product, marketing, finance, and commercial teams, serving 30+ million users and growing. This role carries particular weight in our finance and revenue domain: you’ll steward the models finance relies on directly, including order-to-revenue flows and reconciliation against third-party systems such as our ERP, where precision and auditability matter as much as scalability. Our analytics engineering function is still maturing, so you’ll have real ownership in establishing standards, defining our semantic layer, and shaping how data is structured as we scale globally, working closely with the rest of the data team to build a production-grade analytics platform on LightDash and beyond. What You'll Do: Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logic Build and maintain finance and revenue data models, including order-to-revenue flows, recognition logic, and reconciliation against source-of-truth financial systems, that finance and commercial teams can rely on for reporting and forecasting Own the order-to-revenue pipeline: ensuring every order correctly and traceably resolves into recognized revenue, with clear handling of refunds, adjustments, currency conversion, and edge cases Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting Partner with Finance and the ERP systems integrator to validate that data models and definitions carry over correctly from legacy systems into the new ERP/EPM platform Implement robust testing, documentation, and monitoring practices, acting as a steward of data quality and governance across the platform, with particularly high attention to detail in domains where small errors compound (e.g., revenue, finance) Collaborate cross-functionally  to translate complex business questions into scalable, production-ready data artifacts Partner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you build Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches Must Haves: Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or equivalent work experience) Hands-on experience building finance and/or revenue data models, ideally including order-to-revenue or billing-to-revenue pipelines, revenue recognition logic, or financial reconciliation (ERP, billing platforms or similar) 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models Exceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosure Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar) Experience working with modern BI platforms and semantic layers-LightDash experience is a strong plus Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products Strong communication skills, with the ability to explain complex data concepts to diverse audiences Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production Nice to Have: Experience in marketplace, telecom, or travel/mobility businesses Background in B2C product companies with high-volume event data Experience building analytics engineering capabilities in low-maturity data environments Previous experience at a scale-up that went through hypergrowth Experience defining and governing company-wide KPIs and metric frameworks Experience working alongside or within a finance function (e.g., supporting FP&A, revenue accounting, or audit processes) on data accuracy and traceability Why People Join Us 🇪🇸 Why people join us in Spain We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact. For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home. 🇬🇧 Why people join us in the UK We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers. Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available: 📍 UK: £74,800 – £112,200 📍 Spain: €77,600 – €116,400 📍 Germany: €76,000 - €114,000 Your Home Destination: 🛫 Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff! 🎒✨

Проектировать и развивать Data Lakehouse платформу. Разрабатывать ETL/ELT пайплайны на базе Spark, DBT и Trino.

We’re looking for a specialist to help develop the data infrastructure behind our mobile games, build reliable data models, and provide teams with high-quality analytics to support product decisions. - 2+ years of experience working with data.

Location: Bengaluru, India We are looking for a Senior Data Engineer to implement and validate change data capture from AWS Aurora PostgreSQL into Snowflake. You will help build metadata driven integration frameworks, support schema adoption in the Medallion architecture, and contribute to performance, reliability, and governance across the data flow. The Analytics Warehouse project supports a large portfolio of business applications with a centralized data environment. The initial milestone focuses on implementing and validating managed ingestion from Aurora PostgreSQL to Snowflake, with production rollout and full dimensional modeling planned for later phases. Configure and operate Snowflake OpenFlow from Aurora PostgreSQL to Snowflake Tune and troubleshoot Aurora PostgreSQL for logical replication Provision infrastructure using Terraform and AWS IAM with least privilege access controls Run structured proof of concept tests for large tables high volume CDC concurrency and outage recovery scenarios Document outcomes of proof of concept testing and validation activities Monitor replication health using Snowflake native observability and Amazon CloudWatch Define success criteria with stakeholders for replication and ingestion validation Support Snowflake side setup for managed ingestion including warehouses grants schedules and reconciliation checks Apply security and governance practices appropriate to a regulated financial and member services context Perform schema DBT and Snowflake native pipeline renewal while preserving business and data continuity Execute performance and cost improvements Follow agreed teardown procedures to remove replication and access artifacts Hands on experience with Snowflake OpenFlow or Apache NiFi Strong experience with PostgreSQL or Aurora including logical replication WAL slots and access control Experience with Terraform on AWS including networking security groups IAM and role pass through for managed services Experience with DBT for data transformations Proficiency in SQL for transformations validation and reconciliation Working knowledge of Snowflake including warehouses roles and loading patterns Understanding of CDC and ELT fundamentals Experience with data quality validation and reconciliation practices Strong communication skills for Agile cross team collaboration in distributed teams Experience with GitHub Experience with PostgreSQL sources and Snowflake targets using OpenFlow NiFi or similar services Experience with Python or similar languages for checks automation and reporting Experience with Snowflake OpenFlow or similar managed CDC offerings Experience with Airflow or equivalent tools for production orchestration Experience in financial services or similar regulated domains Experience with cloud cost estimation for replication at scale Experience with Amazon EKS or Kubernetes for monitoring and issue resolution in the OpenFlow or NiFi environment Experience with Cursor or Claude Experience with specification driven development

Чем предстоит заниматься: Проектировать, поддерживать и оптимизировать ETL/ELT-процессы в Airflow: регулярные инкрементальные загрузки, backfill, cleanup, full-refresh, обработка исторических данных. Нам важно: Уверенный SQL и опыт оптимизации запросов на больших объемах данных.

Location: New York, NY Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. The Role As a Senior Staff Analytics Engineer, you will enable stakeholders at Flex to easily find the data they need to make decisions. You'll do this by leveraging your technical skills to develop better data products and solutions. You'll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product. As part of the broader Data team, you will report to the Director, Analytics Engineering and support a number of different areas across Flex. You Will: Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company Collect business requirements, define successful analytics outcomes, and design data solutions Set company-wide standards for data regarding structure, quality, and expectations Contribute Flex’s data culture by influencing processes, systems, and tools that enable to make better decisions in a scalable way You Have: 6+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.) Expert proficiency with dbt or similar data modeling tool Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD) Experience within the fintech space This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside of the NY/NJ area, you may be eligible for our relocation assistance program. Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $200,000 — $240,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

-5+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering. -4+ years of hands-on experience with GCP, Terraform, and Terragrunt.

Design and own the semantic layer and aggregation architecture across clients with 2 to 250 locations each. Build and maintain pipelines from sources like Mindbody, Zenoti, Boulevard, Mariana Tek, Domo, QuickBooks Online, GA4, Google Ads, Meta, and Klaviyo.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We are now hiring for an Analytics Engineer to join our new BI / Data team. This role is an exciting opportunity to turn raw data into the trusted metrics and self-service analytics that every team at Xelix, from Finance to Product, makes decisions with, built AI-native so a small team delivers trusted metrics in weeks rather than quarters. Whether you're an experienced mid-level engineer ready for broader ownership or already operating at senior level, you'll have real influence on how Xelix defines and uses its data. What you'll be doing Model clean, joined tables in dbt for customers, contracts, usage, product outcomes, support, revenue and cost Work AI-native from day one: AI coding agents draft models, tests and documentation, while you own definitions, review and quality Own the metrics layer: one tested definition each for ARR, customer retention, realised customer value, touchless rate and cost to serve, with a first version in use within your first six weeks Move existing Metabase and customer review reporting onto governed models, and retire duplicate dashboards together with their owners Enable Finance, RevOps, Commercial, Product, Engineering and Services to self-serve, including plain-language analytics on top of the metrics layer, and help choose our analytics tooling Agree definitions with business owners and document them so people and AI tools read them the same way What you’ll bring Experience as an analytics engineer or BI developer, building models in dbt on a cloud data warehouse You already work AI-native: you use AI coding agents daily for SQL, dbt models, tests and documentation, know how to verify what they produce, and understand how semantic layers make AI answers reliable Excellent SQL and data modelling, including dimensional models and metrics or semantic layers Experience with a BI tool such as Metabase, Omni, Looker or Power BI, and with enabling non-technical users Business sense: you understand SaaS metrics like ARR, churn and expansion, and can turn questions into data Clear communication and patience in getting stakeholders to agree on one definition What we offer in return 💰 Competitive salary of £50,000-£70,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We are now hiring for a Data Engineer to join our new BI / Data team. This role is an exciting opportunity to build Xelix's data platform from the start: the pipelines, data lake and Snowflake warehouse that become the company's single source of truth, built AI-native so a small team delivers in weeks what used to take quarters. You'll work alongside the Data Engineer in our Platform Team, who focuses on our production data systems, while you focus on bringing data together for analytics, reporting and AI. Whether you're an experienced mid-level engineer ready for broader ownership or already operating at senior level, this is a chance to shape a new team from its first day. What you'll be doing Build and run ingestion from our platform databases and business tools (HubSpot, Xero, Intercom, Gong and more) into our data lake and Snowflake warehouse, with a first version of the priority sources live within your first six weeks Work AI-native from day one: AI coding agents write, test and document pipelines, checks and infrastructure code, while you own design, review and reliability Set up change data capture from Postgres read replicas, so analytics never touches production Own reliability, monitoring, data quality checks and cost control for the data platform Work with our Platform Team on data contracts and access to production data, so analytics needs are designed in rather than bolted on Build datasets with AI Engineering for model evaluation and measuring processing accuracy What you’ll bring Solid experience as a data engineer, building production pipelines into a cloud data warehouse (Snowflake preferred) You already work AI-native: you use AI coding agents daily for pipelines, SQL, tests and infrastructure code, can show how it changed your speed, and know how to verify what they produce Strong SQL and Python, plus experience with dbt and a managed ingestion tool such as Fivetran or Airbyte Hands-on Postgres experience, including replication or change data capture AWS experience (S3, RDS, IAM) and infrastructure as code A security-minded approach to sensitive financial data: access controls, retention and auditability What we offer in return 💰 Competitive salary of £50,000-£70,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

• Уверенный SQL: тяжёлые аналитические запросы, оптимизация, большие датасеты. • Практический опыт DBT (тесты, sources, документация моделей) и Git.

Location: Oakland, California, 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 and dbt Labs build data pipelines that power the modern data stack for thousands of companies. As Engineering Manager for the Data Application Platform team, you’ll lead the engineers responsible for core systems that support data movement, including scheduling and workflow management, application security, and database systems. You’ll guide team execution and career development, partner with technical leads on architectural strategy, and help the team deliver critical initiatives reliably. This is a hands-on leadership role. You’ll focus on growing people, building a healthy delivery process, and shaping technical direction, while staying close to the code and architecture so you can make sound technical decisions and earn the trust of a senior engineering team. This is a full-time position based in our Oakland, CA office. Our hybrid work model combines remote flexibility with in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java (JVM, JIT, GC tuning, thread management), JUnit Postgres Database Claude Code Docker and Kubernetes AWS, GCP Bazel, BuildKite Observability tools What You’ll Do Lead and Grow the Team: Hire, onboard, coach, and develop software engineers, while providing day-to-day support and managing performance. Own Team Delivery: Plan and prioritize the team’s work, and guide execution to deliver high-quality software predictably. Set Technical Direction: Partner with senior and staff engineers to guide the architecture and evolution of Fivetran’s scheduling, workflow management, application security, and database systems, focusing on reliability, scalability, and security. Drive Cross-Team Alignment: Work with leaders across Fivetran’s platform and engineering organization to coordinate shared technical work and ensure core systems integrate effectively. Shape the Roadmap: Partner with product and engineering stakeholders to translate customer needs, security requirements, and operational feedback into clear priorities and a well-sequenced roadmap. Raise the Engineering Bar: Build a culture of design docs, thoughtful code review, and durable engineering, enabling the team to ship quickly while maintaining quality. Skills We’re Looking For Lead Engineering Teams : Experience managing software engineering teams, including hiring, coaching, and performance management, with a track record of shipping production systems. Bring Strong Engineering Judgment : A solid engineering foundation—you’ve built and shipped production software and can engage credibly with senior engineers on architecture and technical tradeoffs. Understand Core Platform Domains: Familiarity with areas such as SQL, application security, and platform scalability, along with a strong grasp of clean code, modularity, testability, and backward compatibility. Communicate and Collaborate Effectively : Excellent written and verbal communication skills, with experience working in distributed, asynchronous teams and explaining complex tradeoffs to engineers, product managers, and other stakeholders. Lead Across Teams : Demonstrated experience driving cross-team technical initiatives and influencing engineering direction. Deliver Through Ambiguity : A track record of taking high-impact problems from definition through execution. Bonus Skills​ Experience with data platforms or data engineering systems, along with an understanding of application security principles. #LI-HYBRID #LI-EM1 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. Oakland Pay Range $211,513 — $264,391 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.

💎 Авиасейлс ищет Data Engineer для подключения новых источников данных и разработки/модернизации data pipelines, настройки и поддержки аналитического окружения, обмена данными с внешними и внутренними сервисами, совместной модернизации дата‑платформы с core‑командой, работы в паре с продуктовым дата‑инженером;

Location: Distributed; Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin TX, San Francisco CA, NYC, Atlanta GA OR Denver CO About the role The GTM Intelligence team helps Cloudflare's go-to-market organization make faster, better decisions with trusted data. We work with Sales, Technical Sales, Services, Finance, and our central Data teams to make sure the people who sell, deploy, and support Cloudflare get consistent, reliable answers to the questions that matter most. We're looking for a Senior GTM Analytics Manager to set and execute the vision for how information scales across Cloudflare's technical customer-facing teams. You'll support Pre- and Post-Sales Operations, Solutions Engineering, Forward Deployed Engineering, and Professional Services. This role is less about building more dashboards or doing one-off deep dives and more about building the foundations to support true self-serve analytics.  You will focus on single source of truth artifacts, strategic alignment of metrics to actions, and the data models, metric definitions, and context layers that let anyone in these organizations get a trustworthy answer that fits their needs. That person might be an executive, a frontline manager, an engineer in the field, or an AI agent working for any of them. You'll be a technical expert and a strategic partner in one. You'll be as comfortable reviewing a dimensional model with Data Engineering as you are agreeing a metric definition with a VP of Professional Services. And you'll be our go-to voice on how analytics should change now that more and more questions get answered through AI. This is a senior individual contributor role with wide influence and no direct reports. What you'll do Define and drive a multi-year strategy for how Pre-Sales, Post-Sales, Solutions Engineering, FDE, and Professional Services find, trust, and use data, including a maturity model and a phased roadmap. Act as a thought leader on scaling information in an AI-first world, working out how semantic layers, governed metrics, and well-built context let AI assistants and agents give accurate, consistent answers grounded in our business. Review the current mix of dashboards, reports, and tools across these teams. Create a plan to consolidate them, retire duplicates, and move toward a single source of truth. Define, document, and carry out the official metrics for the teams you support. Keep metric definitions aligned with corporate definitions from Finance and Data, and resolve conflicts between teams with clear, defensible logic. Act as the main business and technical partner to the central Data team for the stakeholders you support. Influence and review the design of data models across systems such as Salesforce, professional services tools, product usage and telemetry, support, and finance. Design how people get answers: self-serve access, natural-language and AI-assisted querying, embedded insights in daily workflows, and curated metric catalogs. Set up a formal intake and governance process for new metric and data requests, including prioritization, ownership, certification, and change management. Build trusted relationships with leaders in Sales, Solutions Engineering, FDE, Professional Services, Customer Success, Operations, Finance, and Data. Explain complex technical and analytical ideas clearly to executives so they can make decisions. Desirable Skills, Knowledge, and Experience: 8+ years in analytics, business intelligence, analytics engineering, or GTM/Services operations at a high-growth B2B SaaS or technology company. Direct experience supporting at least one of the following: Pre- or Post-Sales Operations, Solutions/Sales Engineering, Forward Deployed Engineering, Professional Services, or Customer Success. You understand how these teams work, how they're measured, and how their data is created. Deep data modeling expertise, including dimensional modeling, entity design, and metric layer design. You can review and challenge a data model, not just consume one. Expert SQL skills and hands-on experience with modern data stack tools such as BigQuery, dbt, or a semantic/metrics layer (for example dbt Semantic Layer, LookML, or Cube). Strong working knowledge of GTM and services systems data, such as Salesforce, professional services automation tools, and product usage or telemetry data. A clear, informed view on how AI changes analytics, including semantic layers, retrieval and context design for LLMs, text-to-SQL, and agent-based access to governed data, plus the data foundations those need to be accurate. A track record of defining and rolling out source-of-truth metrics across multiple stakeholder groups, including handling disagreements over definitions. Proven ability to lead complex, cross-functional programs without formal authority, and to influence executives and engineers alike. Excellent written and verbal communication skills, including turning ambiguous business questions into precise technical requirements and back again. BA/BS in a quantitative, technical, or business field. A Master's in Data Science, Analytics, Computer Science, or an MBA is a plus. Compensation Compensation may be adjusted depending on work location. Compensation may be adjusted depending on work location. For San Francisco Bay Area based hires: Estimated annual salary of $167,000 - $230,000. For New York City based hires: Estimated annual salary of $160,000 - $220,000. For Colorado - Remote based hires: Estimated annual salary of $146,000 - $200,000. Application Deadline: ~January 2027 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Ireland, Dublin 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. Engineering Manager – Enterprise Data Engineering We are looking for an experienced Engineering Manager to lead a team of Enterprise Data Engineers delivering trusted, scalable and reusable data capabilities across Sony Interactive Entertainment (SIE). The role combines people leadership, technical direction, delivery ownership and operational accountability for enterprise data products, pipelines and integrations. Working with global engineering, architecture, platform, security and business teams, you will enable enterprise priorities spanning Finance, Supply Chain, IT Operations, People & Places and Sales & Operations. You will balance transformation delivery with the reliability, maintainability and continuous improvement of existing data services. Responsibilities Lead, coach and grow the engineering team · Manage performance, development, recruitment and succession; create clear goals, regular feedback and meaningful career plans. · Build a culture of ownership, inclusion, engineering discipline, collaboration and continuous learning. · Provide hands-on technical guidance when needed while delegating decisions and developing senior engineering capability. Own delivery, capacity and execution · Translate enterprise roadmaps into executable plans, milestones, dependencies and measurable outcomes; balance project commitments with run-the-business obligations. · Proactively forecast capacity and skills needs, allocate resources, manage competing priorities and identify delivery trade-offs. · Maintain clear visibility of progress, blockers and risks; escalate early with options and recommendations, and communicate confidently to leadership and stakeholders. · Drive predictable delivery through appropriate agile practices, estimation, design reviews, testing, release management and continuous improvement. Provide technical leadership for enterprise data engineering · Guide architecture and implementation of secure, scalable batch and streaming ingestion, ETL/ELT pipelines, transformations and enterprise integrations. · Champion maintainable engineering patterns across Snowflake, Databricks, Python/PySpark, SQL, dbt and relevant orchestration and integration technologies. · Ensure data models and domain-owned data products are reusable, discoverable, documented and aligned with enterprise standards. · Embed source control, peer review, automated testing, CI/CD, infrastructure-as-code where appropriate, and sound software engineering practices. Own operational quality and production readiness · Be accountable for service reliability, observability, data freshness, data quality, lineage, access controls and operational support for team-owned pipelines and products. · Establish effective monitoring, alerting, incident response, root-cause analysis, recovery procedures and reduction of recurring support effort. · Partner with platform, architecture, security and governance teams on production readiness, privacy, compliance, cost and performance optimisation. Partner across the enterprise · Work with domain and transformation leaders to understand business outcomes, shape requirements and prioritise sustainable data engineering solutions. · Coordinate dependencies with data platform, analytics, AI/ML, application and infrastructure teams to enable end-to-end delivery. · Represent the team’s architecture, products, delivery status, risks and impact in technical and executive forums. Skills and Qualifications · 3+ years of people management or engineering leadership experience, including performance management, coaching and leading delivery teams. · 8+ years of relevant software, data platform or data engineering experience, with demonstrated ownership of production-grade enterprise data solutions. · Strong understanding of data architecture, ETL/ELT, data warehousing/lakehouse patterns, dimensional modelling, data contracts and reusable data products. · Practical technical experience with SQL and Python; strong familiarity with Snowflake, Databricks and PySpark, and experience with dbt or comparable transformation frameworks. · Experience with orchestration, API/file-based integrations, cloud services (preferably AWS), Git-based development, automated testing and CI/CD. · Experience operating business-critical data pipelines, including monitoring, incident management, data quality, security and performance optimisation. · Ability to plan team capacity, manage a portfolio of priorities, resolve cross-team dependencies and provide transparent, proactive delivery reporting. · Excellent stakeholder management and communication skills across engineering, business and senior leadership; undergraduate degree or equivalent experience. Desirable Experience ·  Enterprise Finance or Supply Chain data, including SAP and planning-system integrations (such as Anaplan or Adaptive). · Data governance, metadata/lineage, master data, privacy classification and regulated or sensitive enterprise datasets. · Enabling analytics, machine learning or AI-ready data products and applying AI-assisted engineering practices responsibly. · Working with geographically distributed teams and large-scale enterprise transformation programmes. Salary: €101,000 - €151,400 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: ES - Barcelona, Spain Senior Data Platform Engineer Scopely is looking for a Senior Data Platform Engineer to join our Playgami Data Platform team. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami builds technology for game teams across Scopely. Our Data Platform provides the shared foundation that enables teams to use data safely and reliably at scale, supporting 15+ games and 2,000+ active users across Scopely and processing more than 60TB of data per day . What You’ll Do As a Senior Data Platform Engineer, you will build and improve the shared infrastructure, tooling, and services that power data and analytics teams across Scopely. You will investigate platform needs, evaluate technical tradeoffs, and turn agreed priorities into tested code and reusable infrastructure. Working closely with data and analytics teams, Security, and Governance, you will take platform improvements from technical design through deployment and operation. Your main responsibility will be to improve the security, reliability, scalability, and efficiency of our Data Platform while making it easier for teams to build and operate their data workloads. You will lead the technical design and delivery of platform improvements, making informed tradeoffs between reliability, security, scalability, and cost as part of a shared team roadmap. Build and operate shared GCP and BigQuery infrastructure using Terraform, automated checks, and CI/CD. Build scalable, self-service platform capabilities that enable data teams to develop, deploy, and operate workloads with less manual support. Improve user and service account access, ensuring least-privilege principles and dependable approval, review, and revocation processes. Translate Security and Governance requirements into practical controls for sensitive data and data sharing. Improve Airflow and Cloud Composer reliability through troubleshooting, staged upgrades, and tested recovery processes. Improve cloud data platform performance and cost efficiency using workload and capacity insights. Build actionable monitoring and alerts, investigate incidents, and implement improvements to prevent recurring failures. Partner with teams to understand their needs, investigate platform challenges, evaluate potential solutions, and help shape the technical roadmap. Make platform workflows easier to adopt and operate through documentation, runbooks, and mentoring. Provide infrastructure, access controls, and shared tooling that help teams use data safely and reliably at scale. What We’re Looking For Experience designing, deploying, and operating production cloud or data platforms, including safe releases and recovery. Hands-on experience with GCP, BigQuery, IAM, service accounts, and Cloud Storage , or strong equivalent cloud experience. Experience authoring Terraform and CI/CD workflows , testing infrastructure changes, and resolving drift. Experience with Python for reusable automation and SQL for investigating data and workload behavior. Experience implementing and validating least-privilege access, sensitive data controls, and audit logging. Experience operating Airflow, Cloud Composer, Dagster , or a similar workflow orchestrator. Demonstrated experience reducing manual work or improving platform reliability, workload performance, or cloud costs. Strong English communication skills and experience collaborating with engineering, security, and data teams. Bonus Points Experience with BigQuery reservations, capacity management, query optimization, and cost attribution. Experience with Cloud Composer migrations or upgrades, multi-environment orchestration, and recovery testing. Experience with Workload Identity Federation, short-lived credentials, access approval integrations, or tools such as Britive and Lumos. Experience with data classification, column-level controls, masking, controlled sharing, or automated discovery of sensitive data. Experience automating and operating Looker, dbt, Fivetran, or Cube as shared platform services. Experience supporting automated data workloads, including access controls, monitoring, and cost limits. Experience using AI-assisted tools for platform automation, troubleshooting, or documentation, with appropriate testing and review. You do not need experience with every tool listed. We value production ownership, sound engineering judgement, and the ability to learn. Relevant experience can come from data platform, cloud infrastructure, software engineering, DevOps, or site reliability roles. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Участвовать в разработке ядра платформы и самых сложных задачах команды. Разбираешься в дата-инфраструктуре: ETL/ELT, DWH и Data Lake, модели данных, витрины, семантический слой.