Contract Data Engineer - Azure / Databricks
Location: London (2 days onsite)
Rate: 550- 600 per day (Inside IR35)
Contract: 6 months

A leading UK financial institution is seeking an experienced Data Engineer to support the development and enhancement of a modern cloud-based data platform. This role will focus on building scalable data pipelines and supporting the evolution of a cloud-first data architecture.

Key Responsibilities

• Design and develop scalable data pipelines using modern cloud technologies.
• Build and optimise distributed data processing solutions using Databricks, Spark and Python.
• Develop and maintain data integration workflows using Azure Data Factory.
• Work with large datasets stored in Azure Data Lake environments.
• Collaborate with architects, analysts and engineering teams to deliver reliable and secure data solutions.
• Contribute to improving data quality, performance and operational monitoring across the platform.

Key Skills & Experience

• Strong experience with Azure Databricks, Azure Data Factory and Azure Data Lake.
• Advanced Python, SQL and Spark (PySpark) development experience.
• Experience building and optimising ETL / data pipelines in cloud environments.
• Knowledge of CI/CD and version control (Azure DevOps, GitHub or similar).
• Experience working with large-scale distributed data processing systems.

Contract Details

• 6-month initial contract
• 550- 600 per day (Inside IR35)
• Hybrid working: 2 days per week onsite in London

If you’re an experienced Data Engineer with strong Azure and Databricks expertise and are available for a new contract, please apply or get in touch to discuss further.