Senior Data Engineer

📋 Description Design, build, and maintain Airflow pipelines and automation workflows. Integrate with external financial data providers and internal services. Manage configuration and deployments across test, UAT, and production. Contribute to shared libraries, CLI tooling, and automated reporting. Collaborate with the wider team to scope, review, and ship changes end-to-end. Use AI coding assistants as a daily workflow multiplier. 🎯 Requirements Strong Python fundamentals; write clean, well-typed code. Strong SQL skills; write and optimise complex queries. Hands-on PostgreSQL: indexes, query plans, schema design. Experience with workflow orchestration and Airflow. Comfortable in a containerised, cloud-native infrastructure. Able to move fast without cutting corners and know when to ship. 🎁 Benefits Familiarity with financial data, market data vendors, or post-trade systems. Experience in regulated financial services or capital markets. Background building shared developer libraries and internal tooling.