Microsoft Fabric Data Engineer / Architect

We are looking for an experienced Microsoft Fabric specialist to review and improve our existing Fabric environment. Our setup already includes Dataflows, Pipelines, Power BI, external data sources and Fabric workspaces. Main tasks: Review and optimize existing Dataflows and Pipelines Improve performance, reliability and maintainability Simplify duplicated or inefficient logic Improve Lakehouse / Warehouse / semantic model architecture Improve monitoring, error handling and CI/CD Use Fabric Copilot, GitHub Copilot, Claude or other AI tools to speed up development, troubleshooting and documentation Required experience: Microsoft Fabric Dataflows Gen2 and Fabric Pipelines Power Query / M SQL Power BI Lakehouse / Warehouse API and database integrations Python / PySpark, metadata-driven pipelines and AI-assisted development are a strong advantage. The first task will be to review our current Fabric environment, identify the biggest improvement opportunities and create a prioritized optimization backlog.