Description
Millennium is hiring a Data Engineer - Commodities to design, implement, and maintain ETL workflows in Python and SQL for commodities data. The role involves building data models and metadata, orchestrating pipelines with Airflow, applying AI for schema inference and data-quality monitoring, and maintaining production-ready code through Git, GitHub Actions, and PyTest. The engineer will partner with portfolio managers, researchers, analysts, and strategists, with commodities-market knowledge and experience in data warehousing or financial services environments preferred.
