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Senior Data Engineer

Posted 1 week ago by Experis

Summary: Experis is seeking a Senior Data Engineer with expertise in Microsoft Fabric to support a significant transformation within an organization. This hands-on role involves designing and delivering production-ready data solutions in a fast-paced environment. The position is initially for 3 months, with the potential for extension, and is classified as Inside IR35.

Key Responsibilities:

  • Build and Design end-to-end Data Pipelines in Microsoft Fabric
  • Develop scalable transformations using PySpark/SparkSQL/Notebooks
  • Structure data using Lakehouse/Warehouse modelling approaches
  • Implement data quality, validation, and monitoring controls
  • Optimise pipeline performance and execution reliability
  • Document data flows, transformations and dependencies

Key Skills:

  • Strong hands on experience with Microsoft Fabric (OR Databricks)
  • Advanced PySpark/Spark SQL
  • Strong Python and SQL/T-SQL capability
  • Experience with Azure SQL/SQL Managed Instance
  • Proven Track record delivering end-to-end data pipelines in production

Salary (Rate): £565 yearly

City: Edinburgh

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Experis are partnering with an organisation who are undertaking a significant transformation and are seeing a Senior Data Engineer with strong Microsoft Fabric expertise to support the delivery of a modern data platform. This role is Inside IR35, and is for an initial 3 months (with the potential to extend past this date).

This is a hands-on contract opportunity where you'll be expected to make an immediate impact, designing and delivering production-ready data solutions within a fast-paced environment.

Key Responsibilities:

  • Build and Design end-to-end Data Pipelines in Microsoft Fabric
  • Develop scalable transformations using PySpark/SparkSQL/Notebooks
  • Structure data using Lakehouse/Warehouse modelling approaches
  • Implement data quality, validation, and monitoring controls
  • Optimise pipeline performance and execution reliability
  • Document data flows, transformations and dependencies

Required skills:

  • Strong hands on experience with Microsoft Fabric (OR Databricks)
  • Advanced PySpark/Spark SQL
  • Strong Python and SQL/T-SQL capability
  • Experience with Azure SQL/SQL Managed Instance
  • Proven Track record delivering end-to-end data pipelines in production

Desirable skills:

  • Experience with Power BI/semantic layer integration
  • Exposure to Fabric Dataflows Gen2/notebooks
  • Experience migrating from legacy platforms
  • Data Governance / metadata tooling

This role will be based in Edinburgh (2-3 days a week on-site). They are also open to individuals based in the wider Central Belt, however there will still be an expectation to visit the Edinburgh office 1x per week.

If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Rate:
£0/year
Location:
Edinburgh
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
IT
Seniority Level:
Not Specified

Take-Home Pay

Not Available

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