We are seeking a Senior Data Engineer to play a pivotal role in designing and building a next-generation data platform that powers global investment strategies. This is a unique opportunity to work at the intersection of data engineering, quantitative finance, and advanced analytics within a highly sophisticated environment.
Key Responsibilities:
- Work with complex, high-volume market data in a fast-paced environment
- Architect and build scalable, governed data pipelines using tools such as dbt and Python
- Develop semantic data models in Power BI to support business intelligence and reporting
- Design and implement graph data structures (Neo4J) to enable advanced analytics and AI-driven use cases
- Play a key role in shaping the data foundation for cutting-edge investment decision-making
Requirements:
- Strong expertise in SQL and Python for data engineering and transformation
- Proven experience with modern orchestration tools such as dbt, Azure Data Factory, or Airflow
- Exposure to data virtualization platforms
- Solid experience with Power BI
- Academic background in a STEM discipline (MSc or PhD preferred), ideally in Mathematics, Quantitative Finance, or a related field
- Essential: Prior experience working within an investment environment (asset management, hedge fund, sovereign wealth fund, or similar), with hands-on exposure to market data and investment workflows
Why Join
- Be part of a globally respected investment organisation.
- Build systems that directly influence multi-billion-dollar investment decisions
- Collaborate with a high-calibre, international team in a forward-thinking environment
