Senior Data Engineer

Bank Of New Zealand; Wellington; On-site; NZD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible working

Generous leave

Wellbeing programs

Job summary

Bank of New Zealand is seeking a Senior Data Engineer in Wellington to lead the design, delivery, and continuous improvement of data products powering insights across BNZ. You will combine deep data engineering expertise with strong technical leadership to deliver stable, scalable, secure and compliant solutions.

You will work across data warehousing, mainframe and cloud technologies, guiding the team's technical direction and engineering practices, while mentoring engineers and partnering with

Qualifications

• Proficiency in SQL and mainframe technologies, including JCL and SAS.
• Essential experience with data warehouse tools and practices.
• Desirable Snowflake, Python and Airflow experience.

Responsibilities

• Gather and understand data requirements, constraints and source-system limitations.
• Explore raw and conformed data, transform data into reliable products and reports.
• 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 to improve delivery and quality; adopt them thoughtfully 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.

Skills

SQL

Mainframe (JCL)

SAS

Data warehousing

Tools

Snowflake

Python

Airflow

Job description

Worker Type: Permanent

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. 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.

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.

Ehara taku toa i te toa takitahi, og

Closing Date: 28 October 2026