Data Engineer - Leading Systematic Hedge Fund

Our client is a leading systematic hedge fund, redefining electronic trading by building high-performance, data-driven solutions that enable smarter, faster decision-making in dynamic markets. This is an opportunity to join a forward-thinking team working at the intersection of technology and quantitative research. You'll collaborate with engineers, quants, and traders to design and maintain scalable data infrastructure that powers advanced analytics and trading strategies. This role offers full ownership from design to deployment, giving you the chance to shape systems that directly impact research and execution.

Responsibilities:

• Build and manage multiple datasets used extensively in the research and trading platform supporting end users (Quants & Traders)
• Building automated ETL pipelines to onboard datasets faster
• Contributing to the design and implementation the data framework
• Monitoring and managing the data-pipeline lifecycle
• Integrating alternative datasets
• Building data quality checks to ensure good quality and coverage

Requirements:

• 2+ years' hands-on experience in data engineering
• Advanced proficiency in Python and experience with workflow orchestration frameworks (e.g., Argo, Airflow)
• Experience designing and implementing RESTful APIs and internal service integrations
• Experience with observability tools (e.g., Grafana, CloudWatch)
• Familiarity with Kubernetes, container orchestration, and cloud infrastructure (AWS preferred)
• Exposure to the front-end, particularly with regards to custom monitoring dashboards