Senior Fabric Data Engineer

Contract: Initial 3 months + 3‑month extension option

Start: Immediate

The positions are initially sought for a period of three (3) months with a three (3) month extension option. Any potential extension will be subject to business need and ongoing budget funding. Successful candidates are sought for immediate commencement.

What’s in it for you?

• Opportunity to work on a modern Microsoft Fabric data platform
• Hands-on delivery role with end-to-end data engineering ownership
• Exposure to enterprise-scale Lakehouse and medallion architecture
• Collaborative, delivery-focused environment
• Competitive daily rate (commensurate with experience)

What we need from you / What our client requires

We are seeking an experienced Senior Fabric Data Engineer (ideally 7–10 years’ experience) to design, build, and maintain a metadata-driven data platform using Microsoft Fabric and Azure technologies.

The Role

You will play a key role in designing and delivering a scalable, metadata-driven ingestion and transformation framework within Microsoft Fabric. The role focuses on building and optimising Bronze, Silver, and Gold Lakehouse layers to support semantic modelling and analytics outcomes.

Duties / Typical Day / Responsibilities

• Design and build metadata-driven ingestion pipelines from SQL Server into Microsoft Fabric using dynamic Fabric pipelines
• Build and manage Bronze, Silver, and Gold Lakehouse layers
• Develop Bronze-to-Silver transformation pipelines using SQL or Dataflows Gen2
• Create and maintain Gold tables for semantic modelling
• Build Silver-to-Gold pipelines using SQL or Dataflows Gen2
• Optimise Delta Lake and OneLake performance
• Implement data security (RBAC) and workspace segregation
• Maintain and manage code using Azure DevOps
• Support deployment through Git and Fabric deployment pipelines

Skills

• Strong experience in data engineering framework development
• Advanced skills in Microsoft Fabric, Azure, Databricks, SQL, Fabric Lakehouse, and Python
• Deep understanding of Data Lakehouse and medallion architecture
• Experience building metadata-driven ELT pipelines
• Strong knowledge of Delta Lake optimisation and OneLake
• Experience with data RBAC and environment/workspace segregation
• Proficiency with Git and CI/CD deployment pipelines

Why Join Akkodis

• Weekly pay with no payroll processing fees
• Access to upskilling opportunities and training discounts
• Consultant networking events and SME meet‑ups
• Employee Assistance Program (EAP)
• Dedicated Akkodis Account Management support

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