Data Solution Engineer
New
F
Formula5Data and AI
Workplace type: remote; Locations: Warszawa, Al. Jana Pawła II 22, Warszawa, Country code: PL, Part of the working day must overlap with US business hours; meetings usually take place in the afternoon or early evening (CET).ContractMiddle
Salary not disclosed
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Job Details
- Languages
- English (B2); clear communication in English
- Experience
- 3+ years in data engineering and BI, including hands-on delivery on Microsoft Fabric; or 2+ years’ experience working in healthcare context
- Required Skills
- SQLMicrosoft Power BISnowflakeData engineeringDatabricks
Requirements
- Have 3+ years in data engineering and BI, including hands-on Microsoft Fabric delivery, or 2+ years’ experience working in a healthcare context.
- Have hands-on production experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Factory pipelines, notebooks, medallion architecture, and performance tuning.
- Have project experience with Databricks or Snowflake.
- Design star-schema semantic models and write and optimize DAX.
- Understand storage modes, including Direct Lake.
- Have hands-on experience with Power BI report development or Fabric Apps (Rayfin), and be willing to work with both.
- Use AI tools in engineering work or be willing to use them from day one; have hands-on delivery experience using Claude Code, Codex, or Cursor.
- Have strong SQL, Python (PySpark), and DAX skills.
- Understand data modeling, ETL, and ELT.
- Be confident with Git, CI/CD, and AI-assisted agentic delivery.
- Communicate clearly in English and be confident in client-facing work.
- Be available for some overlap with US business hours.
Responsibilities
- Design and build Microsoft Fabric data pipelines using Data Factory, PySpark and SQL notebooks, Lakehouse, and Warehouse.
- Apply medallion architecture to data engineering work.
- Design and maintain semantic models using star schemas, relationships, DAX measures, calculation groups, and Direct Lake.
- Build Power BI reports and Fabric Apps (Rayfin) for business users.
- Own solution quality and performance end to end.
- Use Git integration, deployment pipelines, testing, and documentation.
- Use AI agents to build, review, test, and document solutions, and validate every output.
- Work directly with client stakeholders and the Formula5 delivery team.
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