Data Engineer - Commodities
- Location
- Greater London, England, United Kingdom
detect anomalies, monitor data health, and produce clear lineage and technical documentation. Maintain high-quality, production-ready code and repeatable deployments through Git, GitHub Actions, PyTest, and automated testing practices. Partner with commodities Portfolio Managers, researchers, data analysts, and data strategists to refine datasets, definitions, and documentation based … datasets and complex data transformations. Hands-on experience with Airflow or comparable workflow orchestration tools. Experience with Git, CI/CD pipelines such as GitHub Actions, and automated testing frameworks such as PyTest. Strong attention to detail, data quality, and documentation, with the ability to identify edge cases ...