Senior Data Engineer
Qube Research & Technologies8 days ago
Hong Kong, Hong KongSenior
Responsibilities
- Build global, scalable data lakehouse solutions for multiple trading desks.
- Contribute to software and infrastructure design and implementation in AWS.
- Develop Python data pipelines using data libraries and cloud SDKs.
- Perform data modeling for data lake and OLAP systems handling large volumes and concurrent access.
- Optimize data lake and OLAP database performance across regions.
- Ensure completeness and quality across critical data pipelines.
- Build and support tailored data solutions for quants and traders.
Requirements
- 5+ years of experience with a proven track record building data platforms.
- Mastery of Python and SQL.
- Appetite to contribute to cloud infrastructure.
- C++ experience is a plus.
- Finance experience is highly desirable.
- Ability to take a structured approach to problem-solving and work independently while contributing effectively to a team.
Benefits
- Initiatives and programs intended to support employee work-life balance.
- Equal opportunity workplace with an emphasis on diversity and respectful collaboration.
About Qube Research & Technologies
Qube Research & Technologies is a global quantitative and systematic investment manager that develops and trades data-driven strategies across liquid asset classes for institutional investors. The firm manages client capital and proprietary funds, earning management and performance fees. Founded in 2018 and headquartered in London, it operates with offices in 16 locations worldwide.