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About the Role
We are looking for a technically capable Data Support Engineer to join our global Data Science and Analytics function in Sydney. The team is responsible for ensuring that the extensive datasets and production data processes relied upon by QRT’s quantitative researchers, traders and other business users remain accurate, reliable and available when needed.
Responsibilities
- Providing first-line technical and data support to quantitative researchers, traders and other data users.
- Monitoring production data processes and responding to automated alerts relating to failures, delays and data-quality issues.
- Investigating incidents across data pipelines, including input, transformation and output failures.
- Validating data for completeness, accuracy, timeliness and expected characteristics.
- Assessing the potential business impact of data issues and prioritising incidents appropriately.
- Collaborating with data engineers and other technical teams to diagnose problems and coordinate their resolution.
- Communicating clearly with affected users and providing timely updates throughout an investigation.
- Building an understanding of data flows, dependencies, ownership and downstream consumers.
- Managing support requests and workflows through JIRA, ensuring issues are tracked through to resolution.
- Contributing to monitoring, alerting, documentation and continuous process improvement.
- Supporting the onboarding of new team members and helping users understand QRT’s data tools and processes.
- Contributing to the extension of data coverage, including live data collection and historical backfills.
Requirements
- A Bachelor’s degree in Computer Science, Data Science, Engineering, Finance or another relevant discipline.
- Experience in data support, production support, application support or another technically focused support environment.
- Strong Python skills, including experience using Python to manipulate, investigate and validate data.
- Experience working with data systems, automated pipelines and APIs.
- Exposure to large datasets or high-volume production environments.
- Strong analytical and problem-solving skills, with the ability to investigate issues methodically.
- Excellent attention to detail and a strong appreciation for data quality and accuracy.
- Clear communication skills and the ability to work effectively with both technical and business stakeholders.
- Sound judgement when prioritising incidents, escalating issues and communicating potential impact.
- Curiosity and a genuine interest in understanding how data processes and systems work.
- The ability to remain effective in a fast-moving environment where processes, priorities and ownership may evolve.
- Experience in financial services, quantitative trading or market data would be beneficial but is not essential.
- Experience using JIRA or a similar workflow-management tool would be advantageous.
Skills
- Python
- Data manipulation
- Data investigation
- Data validation
- Data systems
- Automated pipelines
- APIs
- Analytical skills
- Problem-solving skills
- Communication skills
- JIRA
Location
- Sydney
Work Type
- Full-time
Experience Level
- Not specified
Education Level
- Bachelor’s degree
Benefits
- Professional development
- Achievement initiatives
- Programmes supporting work-life balance
About the Company
- Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide.
- We are a technology- and data-driven organisation applying a scientific approach to investing.
- By combining data, research, technology and trading expertise, we foster a collaborative environment that enables us to solve complex challenges.
- Our culture of innovation drives our ambition to deliver high-quality returns for our investors.
Equal Opportunity
- QRT is an equal opportunity employer.
- We value diversity as an essential part of our success and empower our employees to work openly and respectfully towards collective goals.