Fabric Data Engineer

Summary

Design, build, and operate a Microsoft Fabric-based enterprise data platform, including ETL/ELT pipelines, medallion architecture, and Azure integration; core technologies include Microsoft Fabric, OneLake, Lakehouse, Data Factory, Spark, and Azure.

Microsoft Fabric Engineer - 12 Month FTC

London / Hybrid

£60,900 per annum

12-month Fixed Term Contract

We are recruiting a Microsoft Fabric Engineer to join a major data platform transformation programme within a large, complex organisation.

This is a hands on engineering role where you will help design, build and operate a new enterprise data platform based on Microsoft Fabric, creating the foundations for reporting, analytics and AI-driven services.

The role

Working as part of a multidisciplinary data programme, you will:

  • Design, build and operate solutions across Microsoft Fabric, OneLake, Lakehouse and Warehouse.
  • Develop robust ETL/ELT pipelines using Fabric Data Factory, Dataflows Gen2 and Spark Notebooks.
  • Build and evolve Bronze, Silver and Gold data layers using medallion architecture.
  • Design canonical and conformed data models for use across analytics, BI and other downstream services.
  • Integrate enterprise source systems using batch and change-data-capture patterns.
  • Implement data governance, catalogue and lineage capabilities using Microsoft Purview.
  • Work with Azure services covering storage, networking, identity and security.
  • Apply Git, CI/CD and infrastructure-as-code practices to the data platform.
  • Work closely with architects, analysts, engineers and business stakeholders to deliver reliable, reusable data products.

What we're looking for

You will be an experienced Data Engineer with strong, hands on Microsoft Fabric experience and a background delivering production cloud data platforms.

You should have:

  • Strong commercial experience with Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Notebooks/Spark.
  • Experience building ETL/ELT pipelines and medallion architectures.
  • Strong data modelling experience, including canonical, dimensional or comparable enterprise data models.
  • Good knowledge of the wider Microsoft Azure data ecosystem.
  • Strong SQL skills together with Python and/or Spark.
  • Experience with data governance, catalogue and lineage tooling such as Microsoft Purview.
  • Experience with Git, Azure DevOps, CI/CD and infrastructure-as-code approaches.
  • The ability to work effectively with both technical teams and business stakeholders.

This is an excellent opportunity to take a key engineering role in the development of a new Microsoft Fabric data platform, with significant involvement in how the platform is designed, built and used across the organisation.

See also

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