Data Engineer (Azure Data bricks)

Data Engineer (Azure Data bricks)

Posted Today by GIOS Technology

£38 Per hour
Undetermined
Hybrid
London Area, United Kingdom

Summary: The Data Engineer (Azure Data Bricks) role involves hands-on experience with Azure Data Bricks and Apache Spark, focusing on big data tools and cloud technologies. The position requires strong programming skills in Python, Scala, and SQL, along with a solid understanding of ETL processes and data governance. The role is based in London with a hybrid working arrangement, requiring two days per week in the office.

Key Responsibilities:

  • Hands-on experience in Azure Data Bricks and Apache Spark.
  • Strong programming skills in Python, Scala, and SQL.
  • Understanding of ETL processes and cloud technologies (Azure preferred).
  • Familiarity with CI/CD practices for data pipelines and data workflow automation.
  • Experience with data modeling, data governance, and data quality frameworks.
  • Exposure to Azure Data Factory, Delta Lake, and related Azure data services.
  • Understanding of DevOps principles in a data engineering context.

Key Skills:

  • Azure Data Bricks
  • Data pipelines
  • Python
  • ETL processes
  • Delta Lake
  • Insurance

Salary (Rate): £38.00/hr

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

I am hiring for Data Engineer (Azure Data bricks) Location: London - Hybrid / 2 days Per week in Office Hands-on experience in Azure Data bricks, Apache Spark, and other big data tools. Strong programming skills in Python, Scala, and SQL. Understanding of ETL processes and cloud technologies (Azure preferred). Familiarity with CI/CD practices for data pipelines and data workflow automation. Experience with data modeling, data governance, and data quality frameworks. Exposure to Azure Data Factory, Delta Lake, and related Azure data services. Understanding of DevOps principles in a data engineering context.

Key Skills: Azure Data bricks / Data pipelines / Python / ETL processes / Delta Lake / Insurance