Data Solution 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 full-stack Data Solution Engineer (Microsoft Fabric) who is just as comfortable building data pipelines as building the semantic models and reports that sit on top of them. You will work end to end on a client engagement: ingesting and transforming data in Microsoft Fabric, designing semantic models and DAX, and delivering Power BI reports and Fabric Apps (Rayfin) to business users.

AI is part of how we work at Formula5, and this engagement runs on agentic development workflows: AI tools and agents help us build, test, review and document, while engineers stay responsible for every output. In the interview we will ask how you use AI today and how you validate AI-generated code, notebooks and DAX.

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: Microsoft Fabric (must have): data engineering, semantic models and DAX, plus Power BI or Fabric Apps (Rayfin) Experience: 3+ years (mid/senior level) on tech side / focused studies or 2+ years’ experience working in healthcare context Location: Remote Working hours: Flexible, with overlap with US business hours Employment type: Contract (B2B)

Key Responsibilities

• Design and build data pipelines in Microsoft Fabric: Data Factory, notebooks (PySpark and SQL), Lakehouse and Warehouse, following a medallion architecture.
• Design and maintain semantic models: star schemas, relationships, DAX measures, calculation groups and Direct Lake.
• Build Power BI reports and Fabric Apps (Rayfin) that business users rely on every day.
• Own quality and performance end to end, with Git integration, deployment pipelines, testing and documentation.
• Work in agentic workflows: use AI agents to build, review, test and document solutions, checking every output yourself.
• Work directly with client stakeholders and the wider Formula5 delivery team.

What We’re Looking For

Technology Requirements Primary (or on par) tech stack: MS Fabric (must have) - Hands-on production experience: Lakehouse and Warehouse, Data Factory pipelines, notebooks (PySpark and SQL), medallion architecture, performance tuning. Fabric 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 Snowflake (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.

Semantic models and DAX (must have) - You design star-schema semantic models, write and optimise DAX, and understand storage modes, including Direct Lake. This role is strongly focused on fitting business processes and measures into semantic models. Pure data engineering we push more towards semi-automated AI delivery.

Power BI reports and/or Fabric Apps (Rayfin) (required, at least one) - Hands-on experience with at least one, and openness to deliver both. Experience with both is a strong plus. We are gradually switching to the Fabric Apps BI experience.

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.

Healthcare or clinical research data (preferred) - Experience with healthcare or clinical research data, such as clinical trials, patient or EHR data, or claims. A strong advantage.

Screening note: candidates without hands-on Microsoft Fabric data engineering, without semantic modelling and DAX, without experience in either Power BI reporting or Fabric Apps (Rayfin) and hands-on experience with delivery using Claude Code/Codex/Cursor do not meet the requirements.

General Requirements 3+ years in data engineering and BI, including hands-on delivery on Microsoft Fabric.

Your experience working in, with healthcare projects or focused university education in that area.

Strong SQL, Python (PySpark) and DAX skills.

Solid data modelling: star schemas, medallion architecture, ETL and ELT.

Hands-on experience with Power BI report development or Fabric Apps (Rayfin), and willingness to work with both.

Confidence with Git, CI/CD and an AI-assisted, agentic way of delivering.

Clear communication in English and confidence in client-facing work.

Nice to Have

• Experience in healthcare or clinical research, working with clinical, patient or trial data (preferred).
• Azure (ADLS, Synapse, Data Factory), Tabular Editor, Fabric REST APIs and User Data Functions.
• Certifications (DP-700, DP-600, PL-300).

Personal Traits

• Strong ownership mindset with accountability for the quality of every output, including AI-generated work.
• Curious and hands-on, with a genuine interest in new tools, AI-assisted delivery and the evolving Microsoft Fabric platform.
• Excellent communicator who can bridge business and technical conversations with client stakeholders.
• Analytical and detail-oriented, with a natural ability to translate business processes into clear data models and measures.
• Pragmatic, solution-oriented mindset focused on customer success.
• Comfortable operating in fast-growing, dynamic environments.

What We Offer

• Remote B2B contract with full-stack, hands-on work on a modern Microsoft Fabric platform.
• Early, real-world work with Fabric Apps (Rayfin) and agentic development, in a team that uses AI every day.
• Paid time off.
• Education budget for training and certifications.