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.

Technology (non-coding)
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.

About the Role

This role works within the Institutional Data Tech Area, supporting the bank’s Institutional Division. The Tech Area builds world-class technology solutions for: Credit & Risk, Capital & Liquidity Management, Corporate Finance, ESG (Environmental, Social & Governance), CRM and Data and Insights

As a Lead Data Engineer, you will work on large-scale data management concerns in a dynamic and complex environment. In this role, you will design, build, test, deploy and maintain a highly scalable, resilient, cost-effective, and recoverable data management platform using a software engineering mindset and applying the principles of DataOps. You will be responsible for leading a team of engineers, and working closely with the platform Product Owner, architects and another senior stakeholder to engineer a modern data platform.

You will have an appreciation, understanding and working knowledge of modern data architecture paradigms (Data Mesh). The role will also support innovation by monitoring emerging technologies/methods and championing those that will add value. Support a divisional data mesh, and all data and analytics use cases for Institutional. This role reports to the Engineer Chapter Lead– IDAP (Institutional Data & Analytics Platform).

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: Manyata Tech Park, Hebbal
Work Hours: 8 AM to 5 PM

What will your day look like?

• Collaborating with business and technology stakeholders to understand their domain and demands on the data platform, elaborating on these together with the data architect to produce solution options. 
• Collaborating with data and cloud engineers to develop solution options, and maintaining key design artefacts, e.g., Solution Design overview. 
• Presenting key design artefacts with the architect to the appropriate governance forums. 
• Collaborating with other architects, analysts, engineers, and subject matter experts to ensure that the established design guidelines and patterns are clearly communicated and understood. Also ensuring projects align with it. 
• Building relationships with key business and technology stakeholders, providing technical guidance and support in their quest to contribute towards an Institutional and enterprise data mesh. 
• Supporting the evaluation of new technologies to support capability gaps, and performance improvements. 
• Mentor junior team members, and teams across the divisional-wide data mesh. 

• Evaluating emerging technologies to strengthen AI and analytics capabilities.

What will you bring?

• 8+ years of industry experience in data and/or software engineering, data science, business intelligence, or related fields.

• Solid understanding and working with big data and associated concerns (data governance, scalability, security, observability, reliability, etc.).

• Proven experience with integrating multiple heterogeneous data sources, and building a robust, cost-effective, flexible, and large-scale data and analytics platform.
• Deep experience in building large-scale data management and processing platforms, using AWS technologies like Lake Formation, MWAA, EMR, S3, and Athena.
• Experience with data warehousing technologies (AWS Redshift) and data storage formats (Parquet, Avro, JSON) and table formats (governed tables, Iceberg).
• Experience with data transformation and testing tools and frameworks (dbt, Great Expectations, Soda)
• Strong proficiency in programming (Python, Rust, GoLang or Java, with advanced SQL knowledge).
• Tertiary qualification with a focus on software development, and the relevant AWS Cloud Certifications (Data speciality preferred).
• Data modelling experience to support business requirements for data usage.
• Good working experience with IaC and CI/CD tools (Terraform, Codefresh)
• Experience developing data visualisations using tools such as Tableau, Qlik, or similar.
• Successful track record in managing or leading a team of data engineers.
• Proven skill in consulting, communicating, and influencing.

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 118195.

Job Posting End Date

30/06/2026, 11.59pm, (Melbourne Australia)