Data Engineer, Commodities Data & AI Pipelines

Millennium is seeking a data engineer to design and maintain end-to-end ETL pipelines for commodities data, using Python and SQL. You will build scalable data models, ensure data quality, and collaborate with portfolio managers and researchers to refine datasets according to evolving business needs.

The role emphasizes automated testing, Git-based deployments, and orchestration with Airflow, with a focus on accuracy, lineage, and documentation.