Senior Data Engineer/Analyst

asx; Sydney; On-site; AUD 140,000 - 185,000; Full time

Job summary

ASX is seeking an experienced Data Engineer to lead data engineering workstreams across regulatory and risk initiatives. You will translate complex business, risk and reporting needs into scalable data pipelines and curated datasets, ensuring governance and traceability throughout the data lifecycle.

You will design ingestion pipelines, build automated tests, and collaborate across stakeholders to deliver accurate, timely data for Tableau and management reporting.

Qualifications

• 5+ years in a data-focused role with senior-level data engineering experience.
• Strong data modelling, data lineage, and pipeline design expertise.
• Proven experience with automated data testing, reconciliation, observability and validation.
• Delivery of complex data migrations and data platform transformations.
• Advanced SQL and Python for data extraction, transformation and automation.
• Experience with governed, performant datasets for BI/Reporting.
• Experience delivering data pipelines for Tableau or similar tools.
• Ability to analyse complex data, risk and regulatory data journeys.

Responsibilities

• Lead data engineering workstreams across change, regulatory and risk initiatives from source ingestion to curated data products.
• Translate business, risk and reporting requirements into scalable data engineering solutions.
• Identify and close data flow gaps, improve control and efficiency.
• Embed data governance, metadata, lineage and KRI traceability in engineering deliverables.
• Design source-to-target mappings, ingestion pipelines and data models across systems and cloud.
• Build automated data tests covering schema, completeness, and transformations, and support UAT.
• Create reusable data pipelines and datasets for reporting and management information.
• Strengthen data platform controls via monitoring, logging and documentation.
• Assist production regulatory, audit and incident remediation with lineage and evidence.
• Coach team members and promote engineering standards for coding and deployment.

Skills

Data engineering

SQL

Python

Data modelling

Data governance

ETL/ELT

Tableau

Cloud data platforms

Data quality

Tools

ETL tooling

Job description

ASX: Powering Australia's financial markets

Why join the ASX?

When you join ASX, you're joining a company with a strong purpose - to power a stronger economic future by enabling a fair and dynamic marketplace for all.

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.

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.

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.

Your Team

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.

Your responsibilities

• Lead data engineering workstreams across change-the-company, regulatory and risk transformation initiatives, from source ingestion through curated data products and reporting consumption.
• Engage stakeholder groups across Clearing Risk and translate business, risk and reporting requirements into scalable data engineering solutions.
• Review existing clearing risk data flows and reporting processes, identify control, reliability or efficiency gaps, and implement fit-for-purpose engineering improvements.
• Embed data governance requirements in engineering delivery, including approved data sources, critical data elements, metadata, lineage, ownership and KRI traceability.
• Design and maintain source-to-target mappings, ingestion pipelines, transformations, reconciliation logic and curated data models across source systems, cloud platforms and reporting outputs.
• 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.
• 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.
• Strengthen data platform controls through monitoring, logging, alerting, exception handling, technical documentation and controlled remediation processes.
• Support production regulatory, audit and self-identified issues by providing data lineage, technical analysis, control evidence and remediation delivery to agreed quality and schedule.
• Coach team members and promote engineering standards for coding, version control, documentation, testing, deployment, support and data governance.

Your experience and qualifications

Must have

• 5+ years' experience in a data-focused role, with senior-level experience as a Data Engineer, Analytics Engineer, ETL Developer or equivalent.
• Strong experience in data modelling, source-to-target mapping, data lineage, pipeline design and integration of complex datasets.
• Significant experience implementing automated data testing, reconciliation, observability and validation across large-scale change initiatives.
• Proven delivery experience covering batch and file-based ingestion, data warehouses or cloud data platforms, ETL/ELT processes and reporting data products.
• Advanced SQL and Python capability for data extraction, transformation, pipeline automation, performance optimisation and technical problem-solving.
• Experience engineering governed and performant datasets for Tableau or comparable business intelligence and reporting platforms.
• Experience delivering complex data migrations and platform transformations, including impact assessment, data cleansing, cutover, reconciliation and production validation.
• Experience supporting business-critical production data, reporting or analytical processes, including scheduled monitoring, exception investigation, incident response, stakeholder communication and controlled recovery.
• Ability to analyse complex data, risk and