Senior Fabric Data Enginereer

Job Description

Your new role

As a Senior Fabric Data Engineer, you will play a key role in designing and delivering robust, metadata-driven data pipelines and Lakehouse solutions. You will work across the full data lifecycle, building ingestion frameworks, transformation pipelines, and high-quality data models to support analytics and business decision-making.

What you’ll need to succeed

Key Responsibilities:

• Design and develop metadata-driven ingestion pipelines from SQL Server into Microsoft Fabric
• Build and maintain Bronze, Silver, and Gold Lakehouse layers
• Develop Bronze to Silver transformation pipelines using SQL or Dataflows Gen2
• Create and optimise Gold layer tables for semantic modelling
• Build Silver to Gold transformation pipelines
• Maintain and manage code using Azure DevOps and Git
• Ensure best practices in data governance, RBAC, and workspace segregation

Technical Skills & Experience:

• Strong experience in Microsoft Fabric, Azure, or Databricks environments
• Proficiency in SQL, Python, and Lakehouse architectures
• Experience with data engineering frameworks and metadata-driven ELT pipelines
• Solid understanding of Delta Lake optimisation and OneLake
• Experience with medallion architecture (Bronze/Silver/Gold)
• Hands-on experience with Git and deployment pipelines

Experience required:

• 5+ years’ experience designing and developing modern cloud data platforms (ELT, Lakehouse)
• Proven track record in building ingestion frameworks
• Experience with Fabric or equivalent platforms (Databricks, Snowflake, AWS)
• Relevant certification such as:
  • Microsoft DP-600 (Fabric Data Engineer Associate) or
  • Azure Data Engineer certification

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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