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

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: Bengaluru
Work Hours: 7 am to 4 pm

What will your day look like?

As a Data Engineer, you will:

• Design data structures for data ingestion, integration, and consumption layers across a variety of technologies
• Work in a cross-skilled squad with stakeholders from both business and technology to build end-to-end feature
• Contribute to the design of data pipelines and patterns for on-premises and cloud environments, and learn to use AI tools within data engineering
• Optimise data flows by building robust, fault-tolerant data pipelines that clean, transform, and aggregate unstructured and complex data into databases or other data sources.

What will you bring?

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

• Experience using tools such as GitHub Copilot, SQL, Python, cloud platforms and native databases, Control-M/Airflow, ELT/ETL processes, Git/Bitbucket, CI/CD, and Unix/Linux scripting
• Should have a good knowledge of Python and be able to make minor code changes using basic language features and existing patterns, with guidance, and validate code using unit tests
• Should be familiar with existing documentation standards and require guidance to create or modify artifacts
• Good communication, problem-solving, planning and prioritisation, critical thinking, and curiosity to learn new AI tools
• Understands data security policies and principles with guidance and applies them to minimize risks
• Understands and applies basic Agile principles with guidance, contributing to team workflows
• Understands fundamental data privacy and ethical principles and follows guidelines with supervision
• Familiar with basic testing methodologies and tools and applies them under supervision to execute simple test cases
  
  
  

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 116643.

Job Posting End Date

04/07/2026 , 11.59pm, (Indian Standard Time)