Core Experience
- 3–5 years in BI development or data engineering, mostly on the Microsoft data platform.
- Experience supporting production pipelines and semantic models, including fixing failures at their root cause.
- Experience taking over and improving solutions built by others.
- A methodical, ownership-minded approach and clear communication.
- A genuine interest in AI-assisted development and where it adds the most value.
Technical Skills
- Microsoft Fabric: Hands-on with Dataflow Gen2, Data Pipelines, Lakehouses and OneLake.
- Power Query (M): Strong M; comfortable debugging and optimising complex queries written by others.
- REST APIs: Pagination, rate limits, OAuth and token authentication, and incremental loads.
- Semantic Models and DAX: Star schemas, relationships, storage modes and row-level security, with good DAX (filter context and iterators) to read, fix and extend measures.
Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.
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