About Us

At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.

Role Type: Permanent
Role Location: Melbourne or Brisbane 
Work Hours: Full-Time

What will your day look like?

• Understand marketing requirements and how ‘next best actions’ can be triggered based off customer and account data 
• Design physical data structures in Google Big Query to optimise efficiency, scalability and consistency in a repeatable manner   
• Work closely with the team to ensure data solution aligns with stakeholder expectations and practical engineering patterns in DBT 
• Profile incoming source data (batch and real-time event) to contribute to data integration specifications which helps to realise value from our data products 
• Build robust unit tests and anomaly detection using DBT test, Pytest and Elementary 
• Interact with and enhance our CI/CD framework 
• Participate in the continuous improvement of data assets and governance processes to enable consumers to easily access the data they need 

What will you bring?

To grow and be successful in this role, you will ideally bring the following:  

• Excellent SQL data analysis and data profiling skills   
• Proven success designing and/or building BI/DW or ETL solutions, especially using data transformation tools such as DBT or Dataform  
• Demonstrated experience with data pipeline orchestration and/or configuration as code   
• Exposure to data in cloud-native environments  
• An appreciation for difficult problems and to work autonomously on complex tasks, but be equally comfortable helping the team out with less exciting but very important enhancements (such as metadata management or adding simple extra attributes to a table) 
• This is a Data Engineer role which is close to an Analytics Engineer; you need to ‘care’ about the data itself, not just the pipelines, but also be comfortable with engineering practices such as source control, tagging, CI/CD and automated testing. 

So why join us?

From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.

But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.

We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.

At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you're a candidate with a disability or access requirement, and have an enquiry about the support provided, please let us know on your application or visit ANZ Accessibility and Inclusion Programs for alternate contact methods.

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 121432 .
 

Job Posting End Date

10/09/2026, 11.59pm, (Melbourne Australia)