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

We’re seeking a talented Data Engineer to join the Customer Data and Analytics tribe within our Retail 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.

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 analytics layers on a variety of technologies
• Working in a cross skilled squad with people both from business and technology to build end to end features
• Contribute to design patterns for on-premises and cloud.
• Optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data into databases or data sources

What will you bring?

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

• MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering
• A strong background in data processing and software engineering and can build high quality, scalable data products.
• Designing data structures for ingestion, integration, and analytics across various technologies.
• Collaborating, contributing to design patterns for both on-premise and cloud environments, and optimizing data flows by creating robust, fault-tolerant pipelines that clean, transform, and aggregate messy data into organized sources.

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.

Job Posting End Date

31/07/2026, 11.59pm, (Indian Standard Time)