Commodities Data Engineer - AI-Driven ETL & Pipelines
Summary
Millennium Management is hiring a Commodities Data Engineer in London to design, build, and maintain end-to-end ETL pipelines ingesting vendor and internal data using Python and SQL. Day to day involves data modeling with Airflow-scheduled pipelines, validation and anomaly detection, and collaboration with portfolio managers and researchers.
Millennium is seeking a Data Engineer for Commodities to design, implement, and maintain end-to-end ETL pipelines that ingest data from multiple vendor and internal sources, using Python and SQL.
You will build standardized data models, schedule pipelines with Airflow, and implement validation and anomaly-detection controls while collaborating with portfolio managers, researchers, and data analysts to refine datasets and documentation.