Data Solution Engineer (Microsoft Fabric)

Role overview Deliver end-to-end data solutions on Microsoft Fabric, covering pipelines, semantic models, and the reports or apps used by business teams. The role combines data engineering with analytics development and includes direct work with client stakeholders. AI agents are part of the delivery workflow for building, testing, reviewing, and documenting solutions, with the engineer responsible for verifying every output. Some working-hour overlap with a US-based client is expected.

Responsibilities - Build Fabric data pipelines with Data Factory, PySpark and SQL notebooks, Lakehouse, and Warehouse components, using medallion architecture. - Design and maintain semantic models, including star schemas, relationships, DAX measures, calculation groups, and Direct Lake. - Create Power BI reports and Fabric Apps (Rayfin) for business users. - Maintain quality and performance through Git integration, deployment pipelines, testing, and documentation. - Use AI agents to assist with implementation and review, checking generated code, notebooks, and DAX. - Coordinate with client stakeholders and the broader delivery team.

Requirements - At least three years of relevant technical experience, focused study, or two or more years working in a healthcare context. - Production experience with Microsoft Fabric, including Lakehouse or Warehouse, Data Factory, PySpark or SQL notebooks, medallion architecture, and performance tuning. - Practical skills across data engineering and semantic modeling, including DAX; experience with Power BI or Fabric Apps. - Ability to work responsibly in AI-assisted development workflows and verify generated work. - Strong communication and analytical skills, including translating business processes into models and measures.

Nice to have - Healthcare experience, particularly with clinical, patient, or trial data. - Azure data services, Tabular Editor, Fabric REST APIs, or User Data Functions. - DP-700, DP-600, or PL-300 certification.

Benefits and work setup - Remote B2B contract with flexible hours and some overlap with US business hours. - Hands-on work across Fabric engineering, analytics, and Fabric Apps, in an AI-assisted delivery environment. - Paid time off and an education budget for training and certifications.