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Job description
We are looking for a Research Data Engineer to build data pipelines for market, trading, and research data, integrating various data sources and ensuring data quality.
Responsibilities
### Responsibilities
- Build pipelines for market, trading, and research data that feed models and strategies across the company.
- Connect and integrate data from exchange feeds, execution venues, and alternative sources, experimenting with new datasets.
- Develop data quality control and monitoring tools.
- Create unified datasets used by multiple teams: research, ML, and production trading.
- Work on storage and fast access to large volumes of data - tasks at the intersection of engineering and data science.
- Maintain constant contact with researchers: transform raw data into features that directly impact model quality.
- Influence how quickly the team tests new ideas and the reliability of models reaching production.
Requirements
### Requirements
- Experience with market data, order books, or trading systems is key.
- Experience with exchanges.
- Experience supporting ML pipelines and understanding quantitative market research, particularly how trading strategies are tested on historical data is a plus.
- Strong skills in C++ and Python.
- Experience building distributed large-scale data processing systems.
- Understanding of data modeling, storage formats, and data lifecycle management.
- Strong SQL skills and experience with very large datasets.
- English level B2/C1.