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

DJRecruit Asia; Hong Kong; On-site; HKD 720,000 - 1,100,000; Full time

Job summary

DJRecruit Asia partners with a premier global quantitative and systematic investment manager to recruit a Python / Rust Systems Engineer – Data. You will design and build an enterprise-grade data platform that monitors dataset quality, validates correctness, and alerts stakeholders to critical production issues in real time.

You will develop and optimize shared engineering libraries, onboard new datasets, and architect cross-system integrations with trading workflows.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
• Strong CS fundamentals with hands-on proficiency in Python or Rust.
• Hands-on experience with Kubernetes, Docker, and cloud orchestration.
• Self-starter mindset with the ability to work autonomously in a distributed global team, with strong communication skills.

Responsibilities

• Platform Development & Observability: Design, build, and maintain an enterprise-grade data platform that monitors dataset quality and alerts stakeholders in real time.
• Core Libraries & Onboarding: Develop and optimize shared engineering libraries to accelerate onboarding of new datasets.
• Cross-System Integrations: Architect and document integrations with downstream tools and trading workflows for seamless alerting and pipeline management.
• Developer Advocacy & Support: Guide cross-functional teams on platform best practices, assist with migrations, and lead debugging for platform issues.
• Cross-Functional Collaboration: Partner with researchers, traders, and platform engineers to deliver scalable, high-throughput solutions.

Skills

Python

Rust

Kubernetes

Docker

Communication

Education

Bachelor’s or Master’s degree in Computer Science or related quantitative field

Tools

Great Expectations

Soda

Job 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.

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