Requirements: Experience with market data, order books, or trading systems is key for us. Exchange experience. Experience supporting ML pipelines and understanding how quantitative market research is structured - in particular, how trading strategies are tested on historical data - would be a plus. Strong C++ and Python skills. Experience building distributed, large-scale data processing systems. Understanding of data modeling, storage formats, and data lifecycle management. Strong SQL and experience working with truly large datasets. English level B2/C1.

Responsibilities: Build pipelines for market, trading, and research data that feed the company's models and strategies. Connect and integrate data from exchange feeds, execution venues, and alternative sources, with the ability to explore new, non-standard datasets. Develop data quality control and monitoring tools. Create unified, user-friendly datasets used by multiple teams: research, ML, and production trading. Work on storing and providing fast access to huge volumes of data - tasks at the intersection of engineering and data science. Be in constant contact with researchers: transform raw data into ready-to-use features that directly impact model quality. Influence how quickly the team tests new ideas and how reliably models reach production.

Location: 📍Relocation to Dubai or Netherlands.

Contact for application: recruiter contact +CV