Lead Engineer

Ko Mātou – About Us

Kia Hanga I Te Ao, E Ora Ai, E Tupu Ai, Te Tangata Me Te Kainga. At ANZ, we’re shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.  At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

Mō te tūranga - About the role

ANZ’s Data Delivery provides delivery capability for the bank in the area of enterprise data warehousing and analytics. This enables customer insights, trends and metrics, supporting wider bank initiatives and enhancing customer service. Our data platforms cover a broad range of functions and products – Apache Airflow, Teradata, IBM DataStage, Abinitio, and more. 
 
We are seeking a highly skilled Lead Engineer to join our data team to play a key role in helping shape the future of our composable data services, ensuring they are scalable, reliable, and efficient to meet the evolving needs of our data consumers. You will provide technical leadership, set standards, and contribute to the strategic roadmap for our data portfolio.  

Role Location: Auckland or Wellington 

Role Type: Permanent, Fulltime 

Hours: 37.5 hours per week

Ka aha tō rā e kite ai? - What will your day look like

As a Lead Engineer, you are expected to focus on best practice approaches in data engineering and development. You will provide specialist technical expertise, supports design and development of solutions that meet long term business and customer needs.  

Your solutions should be stable, secure, scalable, extensible and maintainable. Your role includes ensuring that designs are in compliance with architectural standards and guidelines, advising on functional issues and mentoring developers as they work through designing, coding, configuring and testing solutions. 

In this role you will have the opportunity to: 

• Work closely with Architecture team to ensure solutions align with architectural strategy 
• Lead the design, development, and optimisation of our composable data services, leveraging technologies such as Apache Airflow, Apache Spark and Python-based frameworks.  
• Design and implement scalable and memory-efficient data pipelines and ETL/ELT processes.  
• Champion best practices for data engineering, including coding standards, testing, monitoring, and operational excellence.  
• Evaluate and introduce new tools and technologies to enhance our data platform capabilities.  
• Provide technical guidance and mentorship to other data engineers, fostering a culture of learning and innovation.  
• Collaborate closely with data engineers, analytics engineers, data scientists, and other stakeholders to understand data requirements and deliver robust solutions.  
• Define and enforce data governance, security, and compliance standards within the platform.  
• Troubleshoot and resolve complex technical issues related to the data infrastructure.  
• Contribute to the strategic planning and roadmap development for the data platform, aligning with overall business objectives.  
• Focus on optimising Python and Airflow pipeline processes for memory efficiency to ensure cost-effective and performant operations.  
• Be part of an awesome team as well as being well-supported with opportunities for your personal development and growth.  

Ōu Pūkenga? - What will you bring?

Along with your experience as a Lead Engineer, combined functional and technical knowledge you will be a skilled communicator comfortable in engaging both technologists and users alike. 

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

• Proven experience in a senior or lead data engineering or data platform role.  
• Deep expertise in designing, building, and operating scalable data services.  
• Strong proficiency in Python and SQL is essential.  
• Extensive experience with Apache Airflow, including orchestrating and managing complex DAGs, with a focus on memory-efficient patterns.  
• Hands-on experience with distributed processing frameworks like Apache Spark.  
• Experience with Kubernetes and data-related cloud native services.  
• Solid understanding of data warehousing, data lakes, and data Lakehouse concepts.  
• Knowledge of data governance, data security, and compliance principles.  
• Excellent problem-solving skills and the ability to troubleshoot complex distributed systems.  
• Strong communication and interpersonal skills, with the ability to lead and influence technical discussions.  
• Experience mentoring junior to mid-level engineers.  
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.  
• A pragmatic and can do attitude. 
   
   

Desirable, but not a must: 

• Experience with Openshift platforms  
• Familiarity with monitoring and observability tools for data pipelines and infrastructure.  

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. 

He aha te take e uru ai koe ki a mātou? - So, why join us?

From the moment you join ANZ, you'll be part of a work whānau striving towards a common purpose: shaping a world where communities thrive.  

But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources, opportunities, and community you need to take the next big step in your career.  

We're a diverse community at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to wellbeing services and discounts on selected products and services from ANZ and more.    

At ANZ you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of Aotearoa New Zealand's communities and this is one of the reasons that has inspired us to develop a multi-year Te Ao Māori Strategy called Tākiri-Ā-Rangi. This includes increasing representation of Māori and Pasifika people at ANZ. Join us and get involved in one of our affinity networks which help us to better understand and meet the needs and interests of our increasingly diverse workforce.

Kua wātea te katoa ki te tono. We welcome applications from everyone and 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 an access requirement or disability, let us know how we can provide you with additional support.  

To find out more about working at ANZ visit https://www.anz.co.nz/careers/.You can apply for this role by visiting ANZ Careers and searching for reference number 119381.

Te Rā Ōtinga - Job Posting End Date

02/08/2026, 11.59pm, (NZ)