Job Description
ASX: Powering Australia's financial markets
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Why join the ASX?
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When you join ASX, you're joining a company with a strong purpose - to power a stronger economic future by enabling a fair and agile marketplace for all.
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In your new role, you'll be part of a leading global securities exchange with a strong brand. We are known for being a trusted market operator and an exciting data hub.
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We are more than a securities exchange! The ASX team brings together talented people from a diverse range of disciplines. We run critical market infrastructure, with 1 in 3 people employed within technology. Yet we have a unique complexity of roles across a range of disciplines such as operations, program delivery, financial products, investor engagement, risk and compliance.
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We're proud to foster a workplace where diversity is celebrated and inclusion is part of our everyday culture. Our employee-led networks champion LGBTIQ+ inclusion, promote gender equality, accessibility and wellbeing, inspire giving and volunteering, and celebrate cultural and religious events, creating a sense of belonging for all. As an AWEI Bronze employer and member of the Champions of Change Coalition for gender equality, we're committed to a fair and inclusive workplace where everyone can thrive.
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Your Team
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The Clearing Risk Control, Data and Reporting team quantifies, analyses and reports clearing risks arising from ASX Clearing Houses acting as central counterparties for novated cash equities and exchange-traded derivatives. The team partners with other risk functions and delivery stakeholders to support risk activities in accordance with approved policies, standards and procedures.
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Your responsibilities
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Lead data engineering workstreams across change-the-company,



regulatory and risk transformation initiatives, from source ingestion through curated data products and reporting consumption.
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Engage stakeholder groups across Clearing Risk and translate business, risk and reporting requirements into scalable data engineering solutions.
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Review existing clearing risk data flows and reporting processes, identify control, reliability or efficiency gaps, and implement fit-for-purpose engineering improvements.
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Embed data governance requirements in engineering delivery, including approved data sources, critical data elements, metadata, lineage, ownership and KRI traceability.
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Design and maintain source-to-target mappings, ingestion pipelines, transformations, reconciliation logic and curated data models across source systems, cloud platforms and reporting outputs.
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Build and execute automated data tests covering schema, completeness, accuracy, reconciliation, transformation logic and end-to-end pipeline validation, while supporting UAT and evidence preparation.
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Design, build and maintain reusable data pipelines, curated data layers and consumption-ready datasets using SQL and Python, supporting Tableau, regulatory reporting and management information.
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Strengthen data platform controls through monitoring, logging, alerting, exception handling, technical documentation and controlled remediation processes.
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Support production regulatory,



audit and self-identified issues by providing data lineage, technical analysis, control evidence and remediation delivery to agreed quality and schedule.
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Coach team members and promote engineering standards for coding, version control, documentation, testing, deployment, support and data governance.
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Your experience and qualifications
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Must have
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5+ years' experience in a data-focused role, with senior-level experience as a Data Engineer, Analytics Engineer, ETL Developer or equivalent.
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Strong experience in data modelling, source-to-target mapping, data lineage, pipeline design and integration of complex datasets.
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Significant experience implementing automated data testing, reconciliation, observability and validation across large-scale change initiatives.
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Proven delivery experience covering batch and file-based ingestion, data warehouses or cloud data platforms, ETL/ELT processes and reporting data products.
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Advanced SQL and Python capability for data extraction, transformation, pipeline automation, performance optimisation and technical problem-solving.
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Experience engineering governed and performant datasets for Tableau or comparable business intelligence and reporting platforms.
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Experience delivering complex data migrations and platform transformations, including impact assessment, data cleansing, cutover, reconciliation and production validation.
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Experience supporting business-critical production data, reporting or analytical processes, including scheduled monitoring, exception investigation, incident response, stakeholder communication and controlled recovery.
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Ability to analyse complex data, risk and
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📌 Senior Data Engineer/Analyst (New South Wales)
🏢 ASX
📍 New South Wales