Senior Data Engineer (Investment Data)

We’re looking for an experienced, hands-on Data Engineer who is capable of designing, building, and operating data pipelines and models that power analytics and applications across investment teams and Middle/Back office. The ideal candidate has financial markets familiarity (securities, prices, corporate actions, positions/holdings) and thrives in ambiguous environments—proactively shaping solutions, not waiting for tickets. You’ll own data end-to-end: from ingesting vendor and internal sources, to modeling in our lakehouse, to making data discoverable, reliable, and cost-efficient. You’ll partner closely with BAs/PMs and quants, anticipate downstream needs, and propose pragmatic architectures that balance speed, governance, and scalability.

- Participate in requirements clarification and sprint planning sessions.

- Design technical solutions and implement them, inc ETL Pipelines – Build robust data pipelines in PySpark to extract, transform, using PySpark

- Optimize ETL Processes – Enhance and tune existing ETL processes for better performance, scalability, and reliability

- Writing unit and integration tests.

- Support QA teammates in the acceptance process.

- Resolving PROD incidents as a 3rd line engineer.