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.
Develop and maintain data ingestion, transformation, and validation pipelines using Python and PySpark.
Implement unit and behavior-driven testing with Behave, ensuring robust mocking and patching of dependencies.
Design and maintain Delta Lake tables for optimised query performance, ACID compliance, and incremental data loads.
Build and manage containerised environments using Docker for consistent development, testing, and deployment.
Develop configurable, parameter-driven codebases to support modular and reusable data solutions.
Azure Functions for serverless transformation logic
Azure Blob Storage for data lake operationsWhat We're Looking For
Proven experience in Python, PySpark, and Delta Lake.
Experience with Docker and containerised deployments.
Familiarity with Azure cloud services and data engineering best practices.
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