About the RoleWe are looking for a Python Data Engineer with strong hands-on experience in Behave-based unit testing, PySpark development, Delta Lake optimisation, and Azure cloud services. This role focusses on designing and deploying scalable data processing solutions in a containerised environment, emphasising maintainable, configurable, and test-driven code delivery.
Key Responsibilities
1. Develop and maintain data ingestion, transformation, and validation pipelines using Python and PySpark.
2. Implement unit and behavior-driven testing with Behave, ensuring robust mocking and patching of dependencies.
3. Design and maintain Delta Lake tables for optimised query performance, ACIDpliance, and incremental data loads.
4. Build and manage containerised environments using Docker for consistent development, testing, and deployment.
5. Develop configurable, parameter-driven codebases to support modular and reusable data solutions.
6. Integrate Azure services, including:Azure Functions for serverless transformation logicAzure Key Vault for secure credential managementAzure Blob Storage for data lake operations
What We’re Looking For
7. Proven experience in Python, PySpark, and Delta Lake.
8. SC Cleared
9. Strong knowledge of Behave for test-driven development.
10. Experience with Docker and containerised deployments.
11. Familiarity with Azure cloud services and data engineering best practices.
12. Ability to deliver scalable, maintainable, and testable solutions in a fast-paced environment.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
#4750750 - Lottie Cheetham