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David James Recruitment Limited

Data Platform Engineer (Python / Rust) | Top Buy-Side Firm | HKD$60-HKD$100K

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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.


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