Job description

Investment teams and Middle and Back office functions need data they can trust, and this Senior Data Engineer role exists to design, build and operate the pipelines and models that make that possible. Financial markets familiarity matters here, covering securities, prices, corporate actions and positions and holdings, since the data itself reflects how these instruments actually move. Ambiguity comes with the territory, and the expectation is to shape solutions proactively rather than wait for a ticket to land. You'll own data end to end, from ingesting vendor and internal sources through modeling in the lakehouse to making that data discoverable, reliable and cost efficient. Close partnership with BAs, PMs and quants runs through the job, anticipating downstream needs and proposing architectures that balance speed, governance and scalability. Day to day work includes requirements clarification, sprint planning and designing technical solutions, with ETL pipelines built and tuned in PySpark for better performance and reliability. Unit and integration tests get written along the way, and QA teammates get support through the acceptance process. Production incidents also land here, handled as a third line engineer when something in the data pipeline breaks.