Software Engineer - Data Platform
Qube Research & Technologies · Hong Kong ·
- Category
- Data engineering
Qube Research & Technologies is seeking a Software Engineer to build and maintain a data platform that ensures the quality, reliability, and observability of production datasets. The role involves developing tooling, shared libraries, and monitoring integrations using Python, Rust, and Kubernetes to support quantitative investment operations.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role at QRT:
We’re looking for a hands-on Software Engineer to join QRT. In this role you’ll build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You’ll work closely with other engineering teams and business stakeholders to deliver a mission-critical platform that prevents material trading losses.
Your responsibilities will include:
- Developing and maintaining a platform which ensures the quality and correctness of our datasets, and alerts stakeholders to critical production issues
- Maintaining and improving shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets
- Designing, building, and documenting our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines
- Supporting users in best practice usage of our tooling, migrating code to the latest standards as well as investigating, debugging and resolving issues with our platform
Your present skillset:
- Bachelor's or Master's degree in computer science, engineering or a related field
- Previous experience in software engineering, exposure to financial data is a plus
- Strong computer science fundamentals and proficiency in Python/Rust
- Familiarity with Kubernetes, container orchestration, and cloud infrastructure
- Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus
- Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus
- Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders
- Ability to work autonomously within a global team
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.