data engineer

The company builds autonomous research systems for financial markets, operating a proprietary hedge fund that integrates an internal AI Research Lab to design and manage the full stack from research ideas to production trading systems.

• 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 used across quantitative research, machine learning, and production trading systems;
• Optimize storage and retrieval of large-scale time series data;
• Work closely with researchers to transform raw data into research-ready features;
• Partner with engineering teams to 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.

• Experience working with market data, order book data, or trading systems;
• Experience with exchanges;
• Experience building production-grade data pipelines and distributed data systems;
• Deep understanding of data modeling, storage formats, and data lifecycle management;
• Strong software engineering skills in C++ and Python;
• Strong SQL skills and practical experience working with large datasets;
• English B2/C1;
• Nice to have: Experience supporting machine learning workflows, Knowledge of quantitative research and backtesting environments.

• Relocation support is available to Dubai or the Netherlands.