Engineer high-performance data systems powering real-time trading and quantitative research in a world-class trading environment.This role sits at the intersection of software engineering and quantitative research, building robust, low-latency data pipelines that support both research workflows and live trading across global markets.You'll design, implement, and optimise production-grade data pipelines, working with large and complex datasets. The role is heavily Python-focused, with extensive use of pandas, NumPy, and scientific libraries,integrating data from multiple internal and external sources.You'll work closely with quants, traders, and engineers on business-critical problems, where performance, reliability, and data quality directly impact trading decisions.At least 5 years of hands-on experience using Python for data engineering is crucial to be successful in this role. You should be comfortable manipulating large datasets, writing efficient and well-tested code, and maintaining production data pipelines.If you enjoy solving complex data problems and seeing your work make a difference, this role offers both challenge and reward.Interested? Contact Aleks - No up-to-date CV required.