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Formula5 is seeking a Senior Data Engineer to own production data platforms built on Snowflake, with Databricks and/or Microsoft Fabric. You’ll design pipelines, model data for analytics, and integrate AI into code delivery for a US client, with flexible hours and a remote setup.
You will work on architecture, testing and documentation, collaborating with Power BI developers and analysts, while mentoring other engineers.
At Formula5, we’re a Microsoft Partner with a focus on Data and AI, Security, Identity, and Cloud Automation. We help organizations build secure, scalable, and modern solutions that combine technology, trust, and real business outcomes. We believe in people-first collaboration, clear communication, and excellence in everything we do.
Formula5 delivers secure data and AI solutions, cybersecurity, cloud infrastructure and automation for clients in regulated industries such as healthcare and life sciences, financial services and energy. We are a Microsoft partner built on value, quality and best practices.
We are looking for a Senior Data Engineer who has built production data platforms on Snowflake and can work just as confidently on Databricks and/or Microsoft Fabric. You will own the engineering side of client engagements, from architecture to running pipelines, and use AI as a normal part of how you design, build, test and document.
AI is part of how we work at Formula5. You need to be curious and responsible for what you ship. In the interview we will ask how you use AI today and how you validate AI-generated code.
You will work with a US-based client, so part of your working day will overlap with US business hours. This usually means some meetings in the afternoon or early evening (CET), while the rest of your day stays flexible.
Technology: Snowflake (must have) plus Databricks / Microsoft Fabric / Power BI
Experience: 5+ years
Location: Remote
Working hours: Flexible, with overlap with US business hours
Employment type: Contract (B2B)
5+ years building data pipelines and data platforms in production.
Strong SQL and Python skills.
Recent experience with delivering end-to-end solutions, code using AI - in form of Codex, Claude Code, Cursor etc. solutions. This is both our most strict requirement but also biggest promise to you.
Solid knowledge of data warehousing: star schemas, medallion architecture, ETL and ELT.
Ability to design scalable architectures for analytics and BI workloads.
Fluent communication in English and confidence in client-facing work.
Solution delivery mindset.
Solution architecture experience in Data area needed for seniority roles.