Job Description
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.
