DJRecruit Asia
Data Platform Engineer (Python / Rust) | Top Buy-Side Firm | HKD 60-100K
Skills
22 days ago
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Important information
Contract type:
Permanent
Work mode:
Onsite
Published on:
2 October 2026
What they need
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.
Responsibilities:
- 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.
Requirements:
- 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.
Nice-to-Haves / Bonus Points:
- 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.
To Apply:
If you are interested in exploring this role, please submit your CV or contact us at [+852 3619 9860](tel:+852 3619 9860) for a confidential discussion.
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