Principal Data Engineer (Apache Spark, dbt, Airflow)
ASX · Sydney, Australia · 1mo ago
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.
Want to know why we are a great place to work, click on the link to learn more.
www.asx.com.au/about/careers/a-great-place-to-work
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.
Our Team:
How we do things in Data Engineering is just as important as what we do. We foster a collaborative, inclusive team environment where people feel empowered, accountable, and deeply connected.
Your responsibilities:
Evolve the end-to-end data platform solution design including ingestion, storage, transformation and serving layers across
the organisation.
Lead the design of data lake and data mesh architectures ensuring scalability, fault tolerance and cost efficiency.
Design, build and maintain reusable frameworks, libraries and internal developer tooling to standardise and accelerate data pipeline development across teams.
Identify, engage and influence stakeholders including architecture disciplines, product owners, delivery owners, workload engineers and business SMEs to ensure data solutions are optimal and have the greatest chance of success.
Ensure data pipelines and engineering processes adhere to existing engineering standards, have well-defined process controls and deliver an overall compliance reporting model.
Drive adoption of DataOps principles including CI/CD for data pipelines, infrastructure-as-code, automated testing and observability.
Design to Run by ensuring data solutions support the operational reliability requirements of critical systems infrastructure.
Collaborate with security and data office teams to embed data privacy, lineage tracking and regulatory controls into platform design.
Support a number of platform data engineers embedded in workload teams and play a key role in managing their deliveries and stakeholders
10+ years of data engineering experience.
Proven track record of designing and operating large-scale data platforms and pipelines in AWS cloud environment.
Demonstrated experience with enterprise data pipeline tooling (Apache Spark, dbt, Airflow), providing guidance on best practices and helping enable major programs to deliver business value.
Deep expertise in distributed systems, batch and streaming data processing and modern data architecture patterns.
A strong understanding of cloud engineering principles underpinned by design and development experience with AWS.
Knowledge of data platform concepts including data lake, Data warehouse and Data Lakehouse patterns using technologies such as Redshift or Apache Iceberg.
Experience with data infrastructure automation using Terraform.
Experience with complex data structures and semi-structured data (JSON, Parquet, Avro, XML).
Experience with Design Governance, taking responsibility for end-to-end data platform design across a large program of work, collaborating with Architecture, Engineering, Analytics and business stakeholders.
Nice to have:
At least 3 years in a lead data engineering role.
Experience implementing data management capabilities in data platform frameworks.
Familiarity with tools such as Confluence, JIRA or ServiceNow.
Strong sense of ownership, customer focus, and integrity demonstrated through proactive leadership and continuous improvement.
Passionate about driving operational excellence and release engineering maturity.
We make hiring decisions based on your skills, capabilities and experience, and how you’ll help us to live our values. We encourage you to apply even if you don’t meet all the criteria of this role.
If you need any adjustments during the application or interview process to help you present your best self, please let us know at careers@asx.com.au.
At ASX Group, our diverse workforce is essential to build and maintain a fair and dynamic marketplace. We support flexible working and offer hybrid working options. Even if our roles are advertised as full-time, we encourage you to apply if you are interested in part-time or other flexible working arrangements.
We will arrange for successful candidates to have background checks, including reference and police checks, completed as part of the on-boarding process.
To be considered for this position, candidates must be legally authorised to work in Australia on a permanent basis without any restrictions.