Principal Data Engineer (Apache Spark, dbt, Airflow)

ASX; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Job summary

ASX is seeking an experienced Lead Data Engineer to shape and operate Australia’s premier data platforms. You will design end-to-end data pipelines, data lake/data mesh architectures and reusable tooling across teams. The role requires deep AWS expertise, distributed systems knowledge and strong stakeholder engagement.

10+ years in data engineering and a track record of delivering large-scale platforms, with DataOps, Terraform and Airflow experience. Hybrid work arrangement offered in Australia.

Qualifications

• Extensive experience architecting and operating large-scale data platforms in AWS.
• Proven ability to lead data engineering teams and programs.
• Strong knowledge of data lake, data warehouse and lakehouse patterns.
• Experience with distributed systems and modern data architectures.

Responsibilities

• Lead end-to-end data platform design including ingestion, storage, transformation and serving layers.
• Design data lake and data mesh architectures with scalability and cost efficiency.
• Build reusable frameworks and tooling to accelerate data pipeline development.
• Stakeholder engagement across architecture, product, delivery and SMEs to ensure optimal data solutions.
• Ensure compliance, data privacy and governance across platforms.

Skills

AWS

Data engineering

Data lakes

SQL

Python

ETL/ELT

Spark

Terraform

Airflow

Data governance

Tools

dbt

Apache Airflow

Terraform

Snowflake

Job description

ASX: Powering Australia's financial markets

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.

Why join the ASX?

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.

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.

If you need any adjustments during the application or interview process to help you present your best self, please let us know at ***email_hidden***.

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.

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.