Data Engineer

About Us

At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

Our community of over 5,000 engineers is key to making this happen, because technology underpins every part of our business - from delivering tools, apps and services for our customers, to building a bank for the future.

About The Role

Data Engineer – Data Capability

Role Location – Manyata Technology Park, Bengaluru

Role Type – Permanent

Job Grade – 5.2

We’re seeking a talented Data Engineer to join the Australia Data tribe within our Retail & Commercial division.

In this role, you'll design and implement data processing solutions that support analytics, reporting, and data development across the division. You will drive best practice data engineering, challenge inefficient practices, and influence change to improve business outcomes. Your work will focus on delivering end-to-end solutions, uplifting the data engineering capability within the tribe, and aligning with the broader Enterprise Analytics roadmap.

What will your day look like?

• Working in an engineering focused squad to build DataOps tools which can be adopted by a large data community
• Follow CI/CD and DataOps best practices to continuously improve the development lifecycle of data applications
• Support delivered tooling and managed services for mission critical workloads
  
  
  

What will you bring?

We are looking for a Data Engineer with hands-on experience in modern data technologies, and an ability to handle fast moving day-to-day development workload.

• Demonstrated experience with version control systems (e.g. Git) and collaborative coding practices
• 1-3 years of experience in software engineering practice and exposure to projects with complex codebase
• Demonstrated experience in Python and test-driven development (TDD)
• Exposure to CI/CD toolchains e.g. Codefresh/Argo CD, Docker/Kubernetes, Artifactory
• Understanding of modern data processing tools and frameworks e.g. Airflow, DBT and working with object storage
  
  
  

You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.

So why join us?

ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. We're proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong.

We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.

We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support.

To find out more about working at ANZ visit https://www.anz.com/careers/ . You can apply for this role by visiting ANZ Careers and searching for reference number 91019.

Job Posting End Date

31/03/2025 , 11.59pm, (Melbourne Australia)