Software Data Engineer

Location: Hong Kong

Industry: Trading

Employment Type: Permanent

A leading global investment firm is looking for a Software Engineer to join its growing engineering team in Hong Kong.

This is a hands-on platform engineering role focused on improving how business-critical datasets are onboarded, validated, monitored and operated in production. You will build software and tooling that helps engineering and investment teams identify data issues earlier, understand their impact and maintain confidence in the information supporting research and trading.

The role sits at the intersection of software engineering, data infrastructure and platform reliability. It is best suited to someone who enjoys building robust internal products and frameworks rather than working solely on data pipelines or analytics.

Your role:

Design and build platforms for managing the quality and reliability of production data
Develop monitoring, validation and alerting capabilities across critical datasets
Build reusable libraries, frameworks and developer tooling
Improve the onboarding and ongoing operation of new data sources
Create services and interfaces that make data health easier to understand
Investigate complex production issues and implement long-term engineering improvements
Work closely with software engineers, data specialists and investment stakeholders
Contribute to technical design, architecture and engineering standards

Current skills:

Strong software engineering experience, particularly with Python
A solid grounding in computer science, software design and data structures
Experience building production platforms, frameworks or internal tooling
An understanding of data quality, observability, monitoring or reliability
Experience with containerised or cloud-based environments
Strong ownership and the ability to take projects from initial design through to production
Clear communication and the ability to work with both technical and business stakeholders

We are particularly interested in engineers with strong technical and academic foundations who have genuinely designed and built production data platforms, tooling or frameworks, not simply maintained existing pipelines and systems.

Experience working with large-scale or time-sensitive datasets
Exposure to Kubernetes, distributed systems or cloud infrastructure
Experience developing shared Python libraries or platform APIs
Familiarity with data validation and observability frameworks
Previous experience in financial services, trading or investment management

Industry experience is not essential. Engineers from technology companies or other data-intensive environments are encouraged to apply.

Why consider?

Build new, business-critical engineering capabilities
Work on complex data and platform problems with tangible commercial impact
Remain hands-on while influencing technical direction
Collaborate with high-calibre engineering and investment teams
Join an established international firm continuing to expand in Asia
Relocation and visa support may be available for suitable international candidates

For a confidential discussion, please contact Ollie Chapman at Tribus Group.

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