De la vacante
The hedge fund is looking for a Research Data Engineer to build and operate a data platform supporting researchers, AI systems, and trading infrastructure. The role focuses on market and research data pipelines, data quality, large-scale time series storage, and collaboration with quantitative research and engineering teams.
What you will do
- Design and maintain scalable pipelines for market, trading, and research data.
- Build reliable ingestion systems for exchange feeds, execution venues, alternative datasets, and internal data sources.
- Develop data quality frameworks, validation checks, monitoring, and observability tooling.
- Create standardized datasets for quantitative research, machine learning, and production trading systems.
- Optimize storage and retrieval of large-scale time series data.
- Transform raw data into research-ready features with researchers.
- Ensure consistent data models across research and production environments.
- Improve metadata management, lineage tracking, and reproducibility of research results.
- Evaluate and integrate new datasets that may provide trading edge.
What the company offers
- Location: Amsterdam, Netherlands.
- Relocation support provided.
- Work at the intersection of trading, AI, and frontier technologies.
- Opportunity to build systems from scratch.
- Access to an in-house AI research lab.
- Use of modern and experimental hardware.
About the Company
The company is a technology-first hedge fund where technology is the core of the business. It builds trading systems at the intersection of financial markets, AI, and frontier technologies, operates its own AI research lab, has stable long-term funding, and provides access to experimental hardware.