Microsoft Fabric Data Engineer

I’m working with a client scaling out their Microsoft Fabric estate and need a genuinely hands‑on Fabric engineer with active 2026 delivery experience.

This is not a proof of concept environment. This is a live, production Fabric implementation supporting core business workloads.

We’re looking for someone who has built Fabric end‑to‑end and understands how to design, optimise and scale it properly.

• At least one end‑to‑end production Fabric implementation
• 5+ years overall Data Engineering experience

• Design and implement Fabric Lakehouse architecture in One Lake
• Build and optimise Bronze / Silver / Gold (medallion) layers
• Develop and maintain Delta tables using Py Spark
• Create and manage Fabric‑native pipelines
• Implement CI/CD and Git‑based deployment workflows
• Support performance optimisation, governance and security design
• Collaborate with stakeholders to shape and scale the data platform

• Microsoft Fabric
• One Lake
• PySpark / Spark
• Fabric Data Factory pipelines
• Direct Lake
• Git / CI-CD

• Experience migrating into Fabric from Synapse or Databricks
• Performance tuning of large‑scale Lakehouse environments
• Data platform governance and cost optimisation experience

This role requires genuine production Fabric experience in 2025/2026. Certification alone will not be sufficient.

If you’ve built Fabric in production and are available or becoming free soon, get in touch.