Data Support Engineer – Sydney (APAC)

Qube Research & Technologies; Sydney; On-site; AUD 90,000 - 130,000; Full time

Job summary

Qube Research & Technologies is seeking a Data Support Engineer in Sydney to join our Data Science and Analytics function. You will provide first-line technical and data support to quantitative researchers, traders and other data users, and monitor production processes for data quality and reliability.

You will investigate incidents across data pipelines, validate data for completeness and timeliness, assess business impact and coordinate with data engineers to resolve issues.

Qualifications

• 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 for data manipulation, investigation and validation.
• 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.
• Clear communication skills and ability to work with both technical and business stakeholders.
• Sound judgement when prioritising incidents, escalating issues and communicating potential impact.
• Curiosity and genuine interest in understanding how data processes and systems work.
• Ability to remain effective in a fast-moving environment where priorities 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.

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.

Skills

Python

Data validation

Data analysis

Problem solving

Attention to detail

Communication

Stakeholder management

Curiosity

Prioritisation

Education

Bachelor’s degree in Computer Science or related

Tools

JIRA

APIs

Data pipelines

Job description

Qube Research & Technologies is seeking a Data Support Engineer in Sydney to join our Data Science and Analytics function. You will provide first-line technical and data support to quantitative researchers, traders and other data users, and monitor production processes for data quality and reliability.

You will investigate incidents across data pipelines, validate data for completeness and timeliness, assess business impact and coordinate with data engineers to resolve issues.