Data Engineer

COMPANYGlobal Asset Manager with over $50B of AUM.JOB TITLEData EngineerRESPONSIBILITIESOwn end-to-end data workflows that move, transform, and surface pricing, security, and reference information across the firm.Connect third-party data feeds from major financial information providers and standardize output for consumption by investment teams.Translate raw vendor datasets into a unified internal schema covering equities, rates, credit, FX, commodities, and digital assets.Work closely with investment and research staff to understand data needs and deliver timely, accurate solutions.Run and tune cloud-based storage and compute resources; keep costs and performance balanced as usage scales.Own operational stability of the data platform — triage issues, enforce alerting, and meet uptime commitments.Establish and enforce checks that catch data problems before they reach downstream consumers.Assess current tooling and spend; surface opportunities to do more with less across infrastructure and subscriptions.REQUIREMENTSDegree in a technical or quantitative field; Computer Science, Mathematics, or Engineering preferred.At least 5+ years working directly with financial data in an institutional investment or capital markets setting.Practical knowledge of one or more major financial data platforms ( Bloomberg, ICE, or Refinitiv ), including feed formats and delivery mechanisms.Fluent in Python and SQL; comfortable owning pipeline code in a production environment, not just prototyping.AWS hands-on experience required; familiarity with serverless compute, columnar storage, and managed relational databases expected.Solid grasp of how financial instruments are structured and identified across asset classes and data vendors.Experience scheduling and orchestrating multi-step data workflows using a modern workflow tool.Working knowledge of what good data looks like, able to define rules, catch anomalies, and trace issues to source.