data engineer

The company is a technology-first hedge fund that builds trading systems at the intersection of financial markets, AI, and frontier technologies. It operates an in-house AI research lab, maintains stable long-term funding, and provides access to experimental hardware.

• 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;
• Transform raw data into research-ready features in collaboration with researchers;
• 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 supporting machine learning workflows;
• Knowledge of quantitative research and 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;
• English B2.

• Relocation support is available;
• 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.