Research Data Engineer to build and operate the data platform that powers the fund’s researchers, AI systems, and trading infrastructure.
Responsibilities:
- 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.
- Collaborate with researchers to transform raw data into research-ready features and ensure consistent data models across research and production.
- Improve metadata management, lineage tracking, and reproducibility of research results.
- Evaluate and integrate new datasets.
Requirements:
- Experience with market data, order book data, or trading systems.
- Experience supporting machine learning workflows and quantitative research/backtesting environments.
- Strong software engineering skills in C++ or Python.
- Experience building production-grade data pipelines and distributed data systems.
- Deep understanding of data modeling, storage formats, and data lifecycle management.
- Good SQL skills and practical experience working with large datasets.
Offer / Conditions:
- Location: Amsterdam, Netherlands — relocation support provided.
- Work at the intersection of trading, AI, and frontier technologies.
- Opportunity to build systems from scratch and access an in-house AI research lab and experimental hardware.