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.
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This role, Data Engineer, Commodities Data & AI Pipelines at Millennium, could be your next opportunity.
The advertised compensation is 70.000 - 110.000.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Data Engineer, Commodities Data & AI Pipelines role in the description above.
We appreciate your interest in this position.