Data Platform Engineer (Python / Rust) | Top Buy-Side Firm | HKD 60-100K
DJRecruit Asia · Hong Kong, Hong Kong ·
- Category
- Data engineering
- Salary
- HKD 60,000 – 100,000 / month
DJRecruit Asia · Hong Kong, Hong Kong ·
JPMorganChase · New York, NY, United States
Goldman Sachs · Warsaw, Mazowieckie, Poland
Selby Jennings · Stamford, United States
JP Morgan Chase · Singapore
Build and maintain an enterprise-grade data platform for a global quantitative investment firm in Hong Kong: monitoring dataset quality, alerting on production issues, integrating with trading pipelines, and supporting cross-functional teams. Core stack is Python or Rust with Kubernetes, Docker, and cloud orchestration.
We are partnering with a premier global quantitative and systematic investment manager to recruit a Python / Rust Systems Engineer – Data. Operating across all major liquid asset classes globally, our client relies on a cutting-edge, data-driven, and scientific approach to trading.
Platform Development & Observability: Design, build, and maintain an enterprise-grade data platform that monitors dataset quality, validates correctness, and alerts stakeholders to critical production issues in real time.
Core Libraries & Onboarding: Develop and optimize shared engineering libraries used across data functions to streamline and accelerate the onboarding of new datasets.
Cross-System Integrations: Architect, build, and document integrations with downstream engineering tools and trading workflows for seamless alerting and pipeline management.
Developer Advocacy & Support: Guide cross-functional teams on platform best practices, assist with code migrations, and lead deep-dive debugging and troubleshooting for platform issues.
Cross-Functional Collaboration: Partner closely with quantitative researchers, traders, and platform engineers globally to deliver scalable, high-throughput solutions.
Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
Core Tech Stack: Strong Computer Science fundamentals with hands‑on proficiency in Python or Rust.
Infrastructure & Cloud: Hands‑on experience with Kubernetes, containerization (Docker), and cloud orchestration.
Problem‑Solving & Communication: Self-starter mindset with the ability to work autonomously in a distributed global team, alongside strong verbal/written communication skills.
Experience working with financial data or within quantitative finance / high‑frequency trading environments.
Exposure to modern data quality frameworks (e.g., Great Expectations, Soda).
Experience developing custom front‑end monitoring dashboards or data visualization tools.
Hong Kong Internet Registration Corporation Limited
Pok Fu Lam, Southern District, HK
Quantitative Trading Firm · Mumbai, India