Data Engineer

About Us

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.

About the Role

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)

Key Responsibilities

• Design and build scalable data pipelines and platforms on Snowflake, and on Databricks or Microsoft Fabric where clients need it.
• Model data for analytics and BI: star schemas, medallion architecture and semantic layers for Power BI.
• Own quality, performance and cost, with CI/CD, infrastructure as code, testing and documentation.
• Use AI assistants to write and review code, generate tests and document solutions, checking every output yourself.
• Work with Power BI developers, analysts and business stakeholders, and mentor other engineers.

What We’re Looking For

Technology Requirements Technology requirements describe day-to-day key aspects of work. It is what you must know, or follow in order to fit the team.

Primary (or on par) tech stack: Snowflake (must have) - Hands-on production experience: warehouse design, ELT, performance and cost tuning, security. Snowflake will be your first project primary delivery environment, but we also require an additional tech stack to fit the Formula5 baseline team skillset.

Secondary tech stack: Databricks or Microsoft Fabric (must have) - Hands-on project experience with at least one. Both is a strong plus. Formula5 delivers solutions on MS Fabric, Databricks and Snowflake platforms.

AI and agentic workflows delivery (must have) - You use AI tools in your engineering work every day, or are clearly willing to from day one. We are strongly focused on AI based (data) code delivery. You need to feel comfortable to be expert enough to control AI led code delivery rather than to try to write all lines by yourself alone.

Programming languages: SQL and Python (must have) - SQL proficiency paired with Python programming experience. Formula5 delivers primarily in Python. SQL is an important artifact for legacy SQL migrations and the major Snowflake engine language.

Depth-in understanding of the data technology ecosystem (required for seniority) - Understanding technology stacks. Knowledge and experience with SDLC in programming and/or data delivery. You can only deliver enterprise data solutions with AI if you 1) understand what happens, what AI delivers for you, 2) feel comfortable setting rules and architecture boundaries. All that comes with knowledge and experience.

Agile methodology delivery (required) - Agile SDLC knowledge / experience. Can be upskilled on project. We deliver using Agile as principle. This is our common language.

Screening note: candidates without hands-on Snowflake, or without Databricks or Microsoft Fabric, do not meet the requirements.

General Requirements 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.

Nice to Have

• Both Databricks and Fabric.
• Azure, Terraform, dbt.
• Certifications (SnowPro, Databricks, DP-700).

Personal Traits

• Strong ownership mindset with accountability for the quality of every output, including AI-generated work.
• Architecture-minded, with the confidence to set rules and boundaries for AI-led delivery.
• Natural mentor who enjoys sharing knowledge and raising the bar for other engineers.
• Excellent communicator who can bridge business and technical conversations with client stakeholders.
• Pragmatic, solution-oriented mindset focused on customer success.
• Comfortable operating in fast-growing, dynamic environments.

What We Offer

• Remote B2B contract with senior, hands-on work for clients in regulated industries.
• Variety across Snowflake, Databricks and Microsoft Fabric, in a team that uses AI every day.
• Paid time off.
• Education budget for training and certifications.