Data Engineer – Real-Time Trading Systems
Location: Hog Kong (Relocation + Sponsorship available)
A high-growth trading firm is building a next-generation data platform and looking for a Data Engineer to join the team.
Youll be working onhigh-volume, low-latency streaming systems, designing production pipelines that power real-time analytics and trading decisions. This is a hands-on engineering role solving genuinely hard distributed systems problems at scale.
What youll be doing
- Designing and building real-time data pipelines
- Implementing robust stream processing logic (stateful processing, late data handling, fault tolerance)
- Optimising analytical workloads for performance and reliability
- Deploying and operating cloud-native data services
- Taking ownership of production systems end-to-end
Tech environment
Modern streaming frameworks, Python, cloud services, containerisation, workflow orchestration, observability tooling
Why this role?
- Direct impact on core trading systems
- High autonomy, flat structure
- Engineering-first culture
- Work on problems most data roles never touch
Ideal for engineers who enjoy low-latency systems, streaming architectures, and performance engineering in a fast-moving environment.