Data Engineer - Greenfield Build - Boutique Global Hedge Fund

This role sits at the foundation of a brand-new data engineering function at a boutique global hedge fund entering its next phase of growth. The data engineer hired here designs the pipelines, schemas, and infrastructure that every downstream team, portfolio management, research, and risk, will depend on from day one. Get the foundation wrong and every analysis built on top of it inherits the problem; get it right and it becomes the backbone of how the fund makes decisions for years.

Interested in this role You can find all the relevant information in the description below.
What You'll DoDesign and build the firm's core data pipelines from the ground up, covering market data, reference data, and internal trading dataArchitect the data warehouse and set the standards, naming conventions, and documentation practices the team will run onPartner directly with portfolio managers and researchers to understand what data they need and how fastBuild monitoring and data quality checks that catch problems before they reach a PM's dashboardEvaluate and select the core tooling and vendors (market data providers, cloud infrastructure, orchestration) that define the stackMentor future hires as the team scales beyond its initial headcount
Must-haves4+ years building production data pipelines; exposure to financial markets data (hedge fund, bank, or prop trading background) preferred but not requiredStrong SQL and Python fundamentals, comfortable writing clean, maintainable, production-grade code, not scripts. This is non-negotiable for the roleExperience with cloud data infrastructure (AWS, GCP, or Azure) and a modern orchestration tool (Airflow, Dagster, or similar)A track record of building something from scratch, not only maintaining an existing systemComfortable operating with minimal process on a small team, and comfortable being the one who sets it
Nice-to-havesExposure to machine learning pipelines or feature engineering, even at a hobbyist levelExperience with time-series or tick data specificallyFamiliarity with Spark, Databricks, or other large-scale processing frameworksPrior experience at a quant fund, systematic strategy desk, or trading technology team
Who should applyStrong data engineers from banks, prop shops, or top-tier tech are encouraged to apply even without hedge fund experience. Fundamentals matter more than pedigree here.
Why This RoleThis is a ground-floor seat: the team doesn't exist yet in its final form, and the first data engineer hired shapes its architecture, its standards, and its early hires. Comp is top of market for a role with this level of ownership. The fund is small enough that one person's work is visible across the whole business, and senior enough that the work matters immediately, not in a year. xzbcwsv For a data engineer who wants to build something rather than maintain it, this is that.