Data Engineer - #2111954

Oliver James


Date: 3 weeks ago
City: London
Salary: £400 - £500 / day
Contract type: Full time
Work schedule: Full day
Oliver James

Data Engineer - Data Migration Programme | London (Hybrid) | Contract - up to £500/d (outside IR35)

Are you a Data Engineer with hands-on experience delivering enterprise data migration solutions? Our client - a fast-scaling European digital infrastructure provider with 100+ sites across the continent - is looking for a Data Engineer to join a major transformation programme consolidating multiple operational systems into a single target platform.

You'll be at the centre of the migration workstream: building the pipelines, transformation logic, and validation frameworks that move data from legacy systems into the new target operating platform - working closely with the Data Workstream Lead, business SMEs, and application teams.

What you'll be doing:

  • Designing and building ETL/ingestion pipelines using Microsoft Fabric (Data Factory, Pipelines, Lakehouse, Notebooks) or equivalent Azure tooling
  • Implementing source-to-target mappings and transformation logic for the migration
  • Owning data validation, reconciliation, and defect resolution through migration test cycles
  • Building reusable migration frameworks - ingestion pipelines, validation routines, error-handling
  • Supporting CI/CD, Git-based release processes via Azure DevOps

What you'll bring:

  • Extensive data engineering/integration/migration experience
  • Hands-on Azure Data Factory, Fabric Data Factory, or Synapse Pipelines
  • Strong SQL - profiling, transformation, validation, reconciliation
  • PySpark/Spark SQL notebook experience (Databricks or Fabric)
  • Proven experience on a data migration project end-to-end (extraction through reconciliation)
  • Microsoft Fabric experience is a bonus, not a requirement - strong Azure Databricks/Synapse background welcomed

Nice to have: Microsoft Purview, Delta Lake/medallion architecture, Key Vault/Managed Identities, Azure DE Associate or Databricks certification.

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