A boutique, high-performing macro hedge fund is looking to hire a junior data engineer with exposure to AI/LLM tooling to join a lean, hands-on team undergoing a live data and infrastructure buildout.
This is a broad, high-ownership role, working directly with investment, risk, and operations teams to support a growing set of data, analytics, and AI-driven initiatives.
Responsibilities
- Build and maintain data pipelines across a range of internal and external sources (APIs, FTP, vendor data)
- Support and develop the firm's Snowflake (Azure) environment following recent rollout
- Work across legacy systems and new infrastructure, helping improve data quality, reliability, and scalability
- Partner with stakeholders across trading, risk, operations, and systematic teams on data and tooling needs
- Contribute to dashboarding and internal analytics tools used by senior stakeholders
- Support AI/LLM initiatives across the firm from a data and infrastructure perspective (e.g. integrations with internal data systems and LLM tooling)
- Take ownership of projects that drive automation and efficiency across the business
Profile Requirements
- 1-3 years' experience in a data engineering / data-focused role
- Strong Python and SQL
- Experience building or supporting data pipelines (APIs, batch processes, data ingestion)
- Exposure to cloud environments (ideally Azure or Snowflake)
- Interest in AI/LLM applications, with a focus on practical implementation rather than model development
- Comfortable working in an unstructured, evolving environment with high visibility
- Proactive, hands-on, and able to work across a wide range of problems
Context
- Recent Snowflake rollout has accelerated data adoption across the business
- Strong internal demand for new datasets, tooling, and analytics
- Engineers operate as generalists, working across multiple areas rather than in siloed teams
- High level of autonomy and exposure to investment teams (up to CIO) from day one
If you feel this is a good fit, apply today! This is a great opportunity with huge potential for a strong junior data engineer.
