Microsoft Fabric Data Engineer

Position:
Microsoft Fabric Data Engineer

Experience:

3–6 years

We are looking for a Microsoft Fabric Data Engineer to design, build, and manage enterprise data solutions. You’ll work with Fabric Lake houses, Warehouses, and Pipelines to prepare data for analytics and AI workloads.

You’ll collaborate with AI engineers, product managers, and business teams to ensure data is clean, secure, scalable, and ready to power intelligent applications.

• Design and maintain Microsoft Fabric data architecture
• Build ETL pipelines using Fabric, Synapse, or Azure Data Factory
• Transform raw data into structured datasets for analytics and AI projects
• Optimize data models and pipelines for performance, reliability, and cost
• Support AI engineers for RAG and LLM workloads
• Monitor pipeline performance, ensure data quality and governance
• Document workflows and share knowledge with the team

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
• 3–6 years in data engineering, analytics, or platform engineering
• Microsoft certifications: DP-600, AZ-204, DP-100
• Hands‑on experience with Microsoft Fabric (Lakehouse, Warehouse, Pipelines), SQL, Spark / PySpark, Azure Data Factory or Synapse, data modeling and pipeline optimization, and an understanding of data governance, security, and compliance

• Exposure to AI workflows (RAG, semantic search)
• Experience with Dataverse, vector databases, or Azure Cognitive Search
• Power BI or Power Platform experience
• Agile/Scrum experience