Posted byPrincipal Recruiter Relocation Opportunities - Singapore, Hong Kong, Sydney We're partnered with several leading funds that are offering relocation packages for candidates with Industry experience. Data Engineer - Quantitative Research Environment Overview An elite trading and research firm is seeking a skilled technologist to join a collaborative team supporting the data-driven backbone of a world-class quantitative investment strategy. This is a unique opportunity to design, build, and maintain critical research and data infrastructure that empowers traders, data scientists, and quantitative researchers across the business. What You’ll Do Own and manage large-scale, high-value datasets from acquisition through to integration in quantitative pipelines. Architect and automate robust data workflows, including extraction, cleaning, validation, and transformation. Collaborate closely with quant researchers to translate analytical needs into efficient, scalable data systems. Build monitoring tools to detect anomalies and maintain data integrity across petabyte-scale systems. Contribute to a cutting-edge research platform that enables backtesting, simulation, and strategy development. Improve data storage and retention efficiency using distributed systems and performance-optimised formats. Troubleshootplex technical issues across multiple layers, including low-level market data handling and high-level research tooling. What We’re Looking For Strong programming capabilities in Python and/or C++ (familiarity with Java is a bonus) Experience handling large datasets, structured and unstructured, ideally within financial markets or other high-throughput environments. Hands-on exposure to data engineering tools ( ETL frameworks, schedulers, CI/CD pipelines, DBT). Working knowledge of distributed storage andpute systems. Understanding of time-series data and techniques used in quantitative modelling or forecasting. Ability to work in Linux/Unix environments with solidmand-line proficiency. Analytical thinker with strongmunication skills and the drive to work across teams. Degree inputer Science, Engineering, Mathematics, or related field. Why Join? Work in a high-performance environment where your contributions directly influence trading oues. Collaborate with talented engineers and researchers solving real-time and large-scale data challenges. Leverage the latest in cloudputing, automation, and software development practices. Be part of a lean, impactful team trusted with building core systems from the ground up. Job ID 1OCData