- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 5 hours ago
- Work mode
- In office
- Eligibility
- Professionals with a strong engineering mindset, an ownership-oriented approach, and the ability to work effectively in a collaborative trading-firm environment are encouraged to apply.
- Resume
- Required to apply
Where you'll work
Job description
Role Overview
This opportunity is for a data-focused engineer who will take responsibility for data reliability, quality controls, and operational stability within a trading environment in Singapore. The role centers on strengthening the data stack through better monitoring, automation of repetitive work, and improvements to the underlying infrastructure.
Key Responsibilities
- Take end-to-end ownership of data quality checks, monitoring routines, and anomaly detection.
- Inspect datasets to uncover issues and useful patterns, then present findings clearly to relevant stakeholders.
- Create consistent monitoring standards and help teams adopt stronger operational practices.
- Build automation to reduce manual support effort and increase overall resilience of systems.
- Adopt a metrics-led approach to assess platform health and prioritize operational work.
Technical Requirements
- Primary programming language: Python.
- Strong working knowledge of SQL.
- Hands-on experience with Pandas, Iceberg, Snowflake, Docker, and Kubernetes.
- Solid background in monitoring and observability practices.
Ideal Profile
The team is looking for someone with a strong point of view, plenty of drive, and a proactive way of working. The environment values collaboration, healthy debate, and the ability to challenge ideas constructively.
Application Note
Applicants should submit an updated CV for consideration.