Front Office Data Engineer – Greenfield Build – High Profile Global Hedge Fund

About the roleWe are a global investment firm building its U.S. data platform from scratch. You will join a tight-knit team of experienced engineers at the ground floor of a cloud-native Snowflake platform. There is no inherited debt and no long ramp period. You will contribute to production systems quickly, learn from people who have done this at scale, and work on infrastructure that directly supports research and trading decisions.We are particularly interested in people coming from banks, exchanges, or data vendors. If you have worked close to market data, reference data, or trade data and want to apply that experience in a modern investment environment, this is a strong fit.What you will work onBuild and maintain pipelines ingesting market, reference, and transactional data into SnowflakeModel datasets that feed analytics, research, and downstream applicationsOwn data quality, validation, and monitoring processes end to endPartner directly with stakeholders to understand data requirements and deliver solutionsWork with senior engineers to develop best practices on a modern data stackWhat we are looking forCore requirements:1 to 4 years in data or software engineeringExperience working with financial data such as market, reference, or trade dataSQL and Python or JavaETL or ELT and data modeling fundamentalsNice to have:Snowflake or a similar data warehouseAirflow or other orchestration toolingKDB+ or time-series experienceCloud or distributed data environmentsFinancial domain knowledge matters more than a perfectly matched tech stack. Snowflake can be taught. Understanding market structure cannot.Why people join this teamGreenfield platform from day one with no legacy constraintsDirect mentorship from senior engineersHigh ownership and visibility early in your careerBroad exposure across market, reference, and trade dataSmall team where engineering is treated as the productReal impact with minimal layers