Data Engineer

We’re looking for an experienced, hands‑on Data Engineer capable of designing, building, and operating data pipelines and models that power analytics and applications across investment teams and Middle/Back Office of one of our clients.The ideal candidate has familiarity with financial markets (securities, prices, corporate actions, positions/holdings) and thrives in ambiguous environments - proactively shaping solutions rather than waiting for tickets. You will own data end‑to‑end: from ingesting vendor and internal sources, to modeling in the lakehouse, to ensuring data is discoverable, reliable, and cost‑efficient.You will collaborate closely with BAs/PMs and quants, anticipate downstream needs, and propose pragmatic architectures that balance speed, governance, and scalability.ResponsibilitiesParticipate in requirements clarification and sprint planning sessionsDesign technical solutions and implement themBuild robust ETL pipelines using PySpark for extraction and transformationOptimize and tune existing ETL processes for performance, scalability, and reliabilityWrite unit and integration testsSupport QA teammates during acceptance testingResolve production incidents as a 3rd line engineerRequired SkillsMinimum 5 years of experience in IT/DataProficiency in PySpark for distributed computingStrong expertise in writing and optimizing complex SQL queriesExperience with PostgreSQL, MySQL, Oracle, or Snowflake preferredExperience with data warehousing concepts and platforms (ideally Databricks)Familiarity with ETL tools and processesExperience with Data ModelingProficiency with GitExperience with Prometheus, Grafana, or custom monitoring scriptsExperience implementing data validation, cleansing, and quality frameworks (ideally Monte Carlo)Familiarity with Azure DevOps, Jira, and/or ConfluenceStrong debugging and troubleshooting skills for complex data issuesStrong written and verbal communication skillsAbility to explain technical concepts to non-technical stakeholdersUnderstanding of the Investment Data domain (desired)#J-18808-Ljbffr