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Senior Data Engineer

Posted 1 day ago by Experis UK

Summary: The role of Senior Data Engineer involves supporting a significant transformation by delivering a modern data platform with a focus on Microsoft Fabric expertise. This hands-on contract position requires immediate impact through the design and delivery of production-ready data solutions. The role is based in Edinburgh, with a hybrid working arrangement. It is classified as inside IR35 for an initial three-month period, with potential for extension.

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

Salary (Rate): undetermined

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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