Data Engineer - Tribus

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.
• Troubleshoot complex 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 (e.g. ETL frameworks, schedulers, CI/CD pipelines, DBT).
• Working knowledge of distributed storage and compute systems.
• Understanding of time-series data and techniques used in quantitative modelling or forecasting.
• Ability to work in Linux/Unix environments with solid command-line proficiency.
• Analytical thinker with strong communication skills and the drive to work across teams.
• Degree in Computer Science, Engineering, Mathematics, or related field.

Why Join?

• Work in a high-performance environment where your contributions directly influence trading outcomes.
• Collaborate with talented engineers and researchers solving real-time and large-scale data challenges.
• Leverage the latest in cloud computing, automation, and software development practices.
• Be part of a lean, impactful team trusted with building core systems from the ground up.