Job Summary

Engineer quality across the delivery lifecycle through automation, risk focus and fast feedback.

Role accountabilities

• Create a risk-based test strategy and quality plan aligned to business outcomes and regulatory impact.
• Build automated tests across unit enablement, API, contract, integration, UI, data and end-to-end layers.
• Validate data quality, lineage, transformations, calculations, reconciliations and audit evidence.
• Test security, resilience, recoverability, performance, scalability and operability with specialists.
• Embed tests and quality gates into CI/CD pipelines and make failures actionable.
• Lead defect prevention, root-cause analysis and continuous improvement, not only defect detection.
• Ensure test environments, data and stubs support repeatable delivery.
• Provide transparent quality evidence for release decisions.

Core skills and experience

• Modern test automation for APIs, services, browsers and data pipelines.
• Contract testing, service virtualisation and integration-test design.
• SQL and data-validation techniques for BigQuery and transformed datasets.
• CI/CD integration, test reporting and quality gates.
• Non-functional testing including performance, resilience and security collaboration.
• Risk-based testing in controlled or regulated environments.

Leadership expectations

• Make quality a shared team responsibility and coach engineers in testability and prevention.
• Challenge ambiguous acceptance criteria and control gaps early.
• Use evidence to support balanced release decisions.
• Lead defect triage calmly and focus on systemic learning.
• Promote proportionate automation based on risk and value.

Productivity and delivery expectations

• Shift feedback left and automate repeatable checks to reduce late rework.
• Prioritise critical journeys, data controls and integration risks.
• Maintain fast, reliable test suites and remove flaky tests promptly.
• Use defect escape, rework, automation reliability and feedback time to target improvement, not rank individuals.

Expected behaviours

• Curious, sceptical and constructive.
• Independent-minded while remaining collaborative.
• Transparent about residual risk and evidence gaps.
• Pragmatic about coverage and focused on material outcomes.
• Persistent in improving quality at source.

Evidence of effectiveness

• Automated quality evidence available in pipelines.
• Clear traceability from risks and acceptance criteria to tests.
• Fewer late defects and faster, more confident release decisions.
• Repeatable validation of Treasury data, services and user journeys.

Desirable domain experience

• Financial calculations, regulatory reporting or controlled data processing.
• GCP-based platforms, BigQuery and event-driven integration.
• Audit evidence and release governance in banking.

Key Responsibilities

Engineer quality across the delivery lifecycle through automation, risk focus and fast feedback.

Role accountabilities

• Create a risk-based test strategy and quality plan aligned to business outcomes and regulatory impact.
• Build automated tests across unit enablement, API, contract, integration, UI, data and end-to-end layers.
• Validate data quality, lineage, transformations, calculations, reconciliations and audit evidence.
• Test security, resilience, recoverability, performance, scalability and operability with specialists.
• Embed tests and quality gates into CI/CD pipelines and make failures actionable.
• Lead defect prevention, root-cause analysis and continuous improvement, not only defect detection.
• Ensure test environments, data and stubs support repeatable delivery.
• Provide transparent quality evidence for release decisions.

Core skills and experience

• Modern test automation for APIs, services, browsers and data pipelines.
• Contract testing, service virtualisation and integration-test design.
• SQL and data-validation techniques for BigQuery and transformed datasets.
• CI/CD integration, test reporting and quality gates.
• Non-functional testing including performance, resilience and security collaboration.
• Risk-based testing in controlled or regulated environments.

Leadership expectations

• Make quality a shared team responsibility and coach engineers in testability and prevention.
• Challenge ambiguous acceptance criteria and control gaps early.
• Use evidence to support balanced release decisions.
• Lead defect triage calmly and focus on systemic learning.
• Promote proportionate automation based on risk and value.

Productivity and delivery expectations

• Shift feedback left and automate repeatable checks to reduce late rework.
• Prioritise critical journeys, data controls and integration risks.
• Maintain fast, reliable test suites and remove flaky tests promptly.
• Use defect escape, rework, automation reliability and feedback time to target improvement, not rank individuals.

Expected behaviours

• Curious, sceptical and constructive.
• Independent-minded while remaining collaborative.
• Transparent about residual risk and evidence gaps.
• Pragmatic about coverage and focused on material outcomes.
• Persistent in improving quality at source.

Evidence of effectiveness

• Automated quality evidence available in pipelines.
• Clear traceability from risks and acceptance criteria to tests.
• Fewer late defects and faster, more confident release decisions.
• Repeatable validation of Treasury data, services and user journeys.

Desirable domain experience

• Financial calculations, regulatory reporting or controlled data processing.
• GCP-based platforms, BigQuery and event-driven integration.
• Audit evidence and release governance in banking.

Skill Requirements

Other Requirements