Ai Data Engineer

Description:

This role is for a hands-on AI Data Engineer who will take full ownership of building and stabilising large-scale data pipelines using Microsoft Fabric and OneLake. The focus is on transforming fragmented, high-volume data (billions of records) into clean, reliable, and analytics-ready datasets using medallion architecture. The ideal candidate is proactive, solves data issues at the source, and ensures strong data quality, governance, and access control. They will work closely with multiple teams, design resilient pipelines, handle frequent upstream changes, and enable trusted, self-service data for business users.

Key Responsibilities
 

• Build and maintain data pipelines using Microsoft Fabric + OneLake
• Implement medallion architecture (Bronze → Silver → Gold)
• Develop transformations using:
  • SQL / T-SQL
  • Power Query / M Query
  • Notebooks (Python)
• Handle very large data volumes (billions of rows) efficiently
• Identify and fix data issues at the source
• Set up:
  • Data quality checks
  • Monitoring & alerting
  • Logging frameworks
• Build semantic models (Power BI / Fabric) for analytics
• Implement data governance + access controls (RLS, object-level, etc.)
• Collaborate with:
  • Upstream system owners
  • Business/data analysts
• Continuously improve pipeline reliability and scalability

Must-Have Skills
 

• 4+ years in Data Engineering
• Hands-on experience with:
  • Microsoft Fabric + OneLake
  • Medallion architecture
• Strong experience in:
  • SQL / T-SQL (advanced queries, optimisation)
  • Data pipeline development (production-grade)
• Experience handling large-scale datasets (billions of rows)
• Strong in data transformation frameworks:
  • Power Query / M Query
  • Notebooks (Python preferred)