Senior Data Engineer

New
C
Ceox Services LtdData engineering
Source API remote eligibility restrictions: United KingdomContractSenior
Salary not disclosed
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Job Details

Required Skills
PythonSQLMicrosoft Power BIPySpark

Requirements

  • Strong experience with Python, PySpark, and SQL for data engineering.
  • Hands-on experience with Azure Databricks.
  • Strong knowledge of Azure Data Factory and Fabric.
  • Experience with Microsoft Purview.
  • Familiarity with event-driven data ingestion, including Event Grid or Pub-Sub.
  • Understand SOLID principles, asynchronous programming, and Mediator/Factory patterns.
  • Experience delivering unit and integration testing in Databricks.
  • Knowledge of secure ETL design with Entra IMID/SCIM integration.
  • Understand Azure best practices, APIM, and platform governance.
  • Ability to build and serve Power BI models via Databricks data sources.
  • Prior experience in UK public sector environments is desirable.

Responsibilities

  • Build and maintain ETL pipelines and code in cloud data platforms.
  • Support ingestion activities and onboard new data sources.
  • Develop Data Engineering workloads using the Databricks Data Intelligence Platform.
  • Construct raw, refined, and curated data layers and catalogue assets.
  • Validate solutions against functional and non-functional requirements.
  • Deliver datasets, transformations, and performance-optimised data products.
  • Improve processes, engineering patterns, and reusable tooling.
  • Monitor pipeline performance and support incident resolution.
  • Ensure documentation meets acceptance standards and is approved centrally.
  • Participate in Agile ceremonies and governance forums.
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