Data Engineer

Requirements:

• 3+ years as a Data Engineer, including solo or primary ownership of production pipelines.
• Strong Python: data engineering, transformation logic, testing discipline.
• Strong SQL with the ability to write correct queries, identify and refactor anti-patterns.
• Databricks, Delta Lake, Airflow for production orchestration.
• Experience with CDC patterns for real-time or near-real-time data synchronisation.
• Experience building low-latency APIs serving operational or analytical consumers.
• Test-driven development discipline - unit tests, integration tests, regression coverage as standard practice, not an afterthought.
• Operates independently under ambiguity; designs systems to be maintained, not just to run.