Data Engineer

Bengaluru, IN

ANZ Banking Group Limited

ANZ offers a range of personal banking services such as internet banking, bank accounts, credit cards, home loans, personal loans, travel and international, investment and insurance. Learn about easy and secure ways to manage your money.

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About the role

Role Location – RMZ Ecoworld, Bangalore

At ANZ our purpose is to shape a world where people and communities thrive and to achieve this, we need a talented Data Engineer to join our Australia Retail data analytics team.


As a Data Engineer you will be responsible for designing and creating data processing solutions that enable value from analytic models to drive rapid decision making.


A key element of this is driving the data engineering agenda within the Strategic Delivery - Data Portfolio ensuring delivery of best practice end-to-end data engineering respecting ANZ architecture standards. You will challenge inefficient engineering practise in ANZ and influence change in your field to drive better business outcomes.


To this end, in the role you will implement smart and relevant data engineering to drive end to end application delivery and support the uplift of data engineering capability in Strategic Delivery - Data Portfolio while linking into the wider Enterprise Analytics roadmap.

What will your day look like

  • Data pipelines: Engineer efficient, reliable and scalable data pipelines.

  • Market / Industry knowledge: Work on diverse data technologies.

  • Problem solving: Address and solve complex business issues using large amounts of data

  • Solution design: Have a clear understanding of the end-to-end analytics journey as well as define and deliver the data roadmap.

  • Data modelling: Design data structures for data ingestion, integration and analytics layers on a variety of technologies.

  • Customer Focus & Team Player: Working in a cross skilled squad with people both from business and technology to build data assets.

  • Continuous improvement and change: Contribute to design patterns for on-premises and cloud. 

What will you bring?

  • MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering.

  • 1+ experience in data processing and software engineering and can build high quality, scalable data products.

  • Software Engineering experience with proficiency in at least two high-level programming language (Python, Java, Scala).

  • Experience and proficiency in at least two high-volume data processing environments (Teradata, Starburst, PostgresSQL, Oracle, Cloudera, BigQuery or equivalent).

  • Experience with container/orchestration tools Kubernetes.

  • Experience in agile environments and development workflows using GIT or similar tools, and CI/CD tools.

  • Ability to translate data insights into practical business recommendation.

So, why join us?

There’s something special about being part of ANZ.  From the moment you join us, you’re part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers. And that’s big.

But it’s not just our customers who will feel your impact. You’ll feel it too. Because at ANZ, you’ll have the resources and community you need to take the next big step in your career, towards even bigger things in the future.


We offer a range of benefits tailored to the countries in which we operate to provide all our people:

  • Health and wellbeing programs

  • Discounts on selected products and services (from ANZ and beyond)

  • Flexible working arrangements, lifestyle leave and career breaks


You’ll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We encourage you to 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, let us know how we can provide you with additional support.


To find out more about working at ANZ or to view other opportunities visit

Job Posting End Date

 15/02/2024, 11.59pm, (Melbourne Australia)

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture BigQuery CI/CD Computer Science Data Analytics Data pipelines Engineering Git Java Kubernetes Mathematics Oracle Pipelines Python Scala Statistics Teradata

Perks/benefits: Career development Flex hours Health care

Region: Asia/Pacific
Country: India
Job stats:  6  0  0
Category: Engineering Jobs

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