

Oliver James
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract basis in London (Hybrid) at up to £500/d (outside IR35). Key skills include extensive data migration experience, Azure Data Factory, SQL, and PySpark. Microsoft Fabric experience is a bonus.
🌎 - Country
United States
💱 - Currency
£ GBP
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💰 - Day rate
500
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🗓️ - Date
July 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Spark SQL #Data Migration #DevOps #Azure Databricks #Synapse #Azure Data Factory #GIT #ADF (Azure Data Factory) #Databricks #"ETL (Extract #Transform #Load)" #PySpark #Spark (Apache Spark) #Azure #Migration #SQL (Structured Query Language) #Vault #Azure DevOps #Data Engineering #Delta Lake
Role description
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.
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.






