Worker Type:

Here at BNZ, it's about more than just banking. We work together in an agile, energising environment to create innovative solutions through our promise "If you can imagine a better future, let's find a way."

We support wellbeing, flexible working and have a generous leave offering. There is the opportunity for growth, learning and career development. No two days are the same.

Ko mātou tēnei | This is Us

As a Senior Data Engineer, you'll lead the design, delivery and continuous improvement of data products that power insights and decision-making across BNZ. You'll combine deep data engineering expertise with strong technical leadership to deliver stable, scalable, secure and compliant solutions.

This is an opportunity for an experienced engineer to work across data warehousing, mainframe and modern cloud technologies, while helping guide the team's technical direction and engineering practices.

Mō te Tūranga | About the Role

In this role, you'll:

• Gather and understand data requirements, constraints and source-system limitations.
• Explore raw and conformed data, using SAS or SQL to transform data into reliable products andreports.
• Produce high-value technical documentation that captures the approach and supports stakeholder sign-off.
• Perform rigorous unit testing and assist with system testing as required.
• Complete code peer reviews, mentor engineers and promote strong engineering practice.
• Drive operational excellence by improving platform stability, scalability, security and compliance.
• Use AI-powered development tools responsibly to improve delivery and quality; BNZ encourages the thoughtful adoption of these tools as part of modern engineering practice.
• Work closely with stakeholders and cross-functional teams to align delivery with customer needs and BNZ's strategic goals.

What attributes will this person display to be successful in this role?

We're looking for an experienced Data Engineer with curiosity, a love of data and programming, and the ability to create high-quality data outputs and reports. You will bring:

• Proficiency in SQL and mainframe technologies, including JCL and SAS.
• Essential experience with data warehouse tools and practices.
• Highly desirable experience with Snowflake, Python and Airflow.
• A commitment to modernisation and strategic engineering best practices.
• The ability to translate technical information for non-technical audiences.
• Experience working in agile delivery environments using DevOps practices.
• Strong communication and collaboration skills, with the ability to mentor others and work effectively across teams.
• Proactive problem-solving, adaptability in a fast-paced environment, and a focus on high-quality outcomes.

What is the team culture and environment like?

In the Digital & Enterprise Data Platforms team, we foster an open, flexible and inclusive environment that encourages collaboration, innovation and continuous learning. You'll work alongside a talented team passionate about modern engineering practices and delivering great outcomes for our customers.

This is an exciting opportunity to join us!  We're bold thinkers who are taking brave steps to create a company that people want to work for, and customers want to bank with. If you're ready to join a fun organisation where we are proud of our culture and how we are helping New Zealander's to 'Find their way', then show your interest by submitting your application - we can't wait to read it. 

Ehara taku toa i te toa takitahi, engari he toa takitini" - Success is not the work of an individual, but the work of many.”

Applications will be reviewed regularly across the advertising period, but we do reserve the right to close applications early.