Data Engineer

• Designing, building, and maintaining batch and streaming data pipelines that power optimisation and ML products
• Developing robust Python-based data workflows and production-grade ingestion and transformation logic
• Modelling and optimising data structures to support analytics, reporting, and Real Time decision systems
• Owning end-to-end data workflows: ingestion, transformation, orchestration, and integration into downstream applications
• Working closely with Embedded Data Scientists, Engineers, and Product teams to ensure data is reliable, timely, and fit for purpose

• Strong experience in data engineering within complex, data-rich operational environments
• Advanced Python for production systems (clean, tested, modular code)
• Expert-level SQL for building performant, reliable data models and pipelines
• Hands-on with modern data pipeline tooling and workflow orchestration (Dagster/Airflow or similar)
• Experience designing and implementing robust ETL/ELT processes across multiple data sources
• Solid experience with cloud platforms (AWS preferred) and modern data architectures (data lakes/warehouses)
• Familiarity with CI/CD, Git, automated testing, and infrastructure-as-code practices
• Exposure to large-scale operational or logistics domains

Up to £660/day Inside | 6 months