David James Recruitment Limited
Data Platform Engineer (Python / Rust) | Top Buy-Side Firm | HKD$60-HKD$100K
- Compensation
- Not disclosed
- Location
- Central and Western District
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 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.
Full description
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 for a confidential discussion.