Senior Data Engineer

Bank of New Zealand; Auckland; Hybrid; NZD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible working

Generous leave

Career development

Wellbeing

Job summary

BNZ is seeking a skilled Data Engineer in Auckland or Wellington to help build scalable data pipelines and deliver reliable data products for the business.

You will work in a hybrid model (three days in the office) and collaborate across teams to solve complex data problems, applying modern tooling such as DBT and CI/CD, with strong SQL and Python proficiency.

Qualifications

• Experience in data engineering roles across ingestion and transformation pipeline development.
• Proficient in SQL and Python with hands-on experience in modern data engineering practices and tooling (DBT, CI/CD).
• Strong communication skills and ability to mentor others to uplift engineering practices.

Responsibilities

• Understand data gaps and solution requirements to develop and document data engineering solutions.
• Utilise and uplift data engineering frameworks and tooling to deliver data faster.
• Collaborate across teams to ensure foundational data products meet business needs.
• Ensure engineering standards adhere to BNZ requirements and are high calibre.
• Provide guidance through code reviews and technical leadership.

Skills

Data engineering

SQL

Python

CI/CD

DBT

ELT pipelines

Mentoring

Tools

DBT

CI/CD

Orchestrated ELT

Job description

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

To accommodate for the increasing demand for data engineers, we are excited to be growing our team. In the Data Centre of Excellence, we focus on finding innovative ways to help New Zealanders be good with money. We believe that starts with a culture where people work together to solve big issues across BNZ. We work across the bank to empower colleagues to make data driven decisions and make things easy for our customers and our people.

Mō te Tūranga | About the Role

We sat down with our Head of Data - Corporate & Risk and they let us know the following about the role: This is a full time, permanent opportunity based in Auckland or Wellington. It is a hybrid role with three days in the office and two days where you can work flexibly.

What are 5 day to day tasks the person in this role will complete?

• Understand data gaps and solutioning requirements to develop and document appropriate data engineering solutions to enable data engineers.
• Utilise and uplift data engineering frameworks, tools and techniques (e.g., pipeline automation) to enable the business to gain benefit from our data, faster.
• Work collaboratively across teams to ensure that investment in foundational data products is delivering to the needs of the business.
• Ensure all engineering frameworks, standards and procedures adhere to BNZ requirements and are high calibre.
• Provide guidance and support to peers through code reviews and technical leadership.

What is the team culture and environment like?

The team is made up of experienced data engineers at all levels of experience who regularly share their recent projects, learnings and tips & tricks. We foster an open, flexible and inclusive environment that supports collaboration within the immediate team and across the teams in the wider Technology organisation.

What projects / work will the candidate be working on now and into the next year?

The successful candidate will be working on both short and long term data projects in the Corporate and Risk space, working directly with stakeholders to solve problems and deliver data solutions.

What is the most exciting thing about this opportunity?

Our data engineers have the flexibility to build data solutions that are efficient, fit-for-purpose and scalable. We have standards and frameworks to guide the engineers and are continuing to evolve as we learn from past experiences. We have a buddy system allowing new joiners to learn directly from an existing team member as part of our onboarding process. Individuals are also encouraged to work on their development plan, which may involve teaching or learning a new technical skill from another engineer.

What is the most challenging thing about this opportunity?

Understanding our data structure and its limitations, so the outputs produced are reliable and fit for purpose.

What is your favourite thing about working for BNZ?

The people and culture - people are truly valued and while our data is not perfect, we strive to find a way to make things work.

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

We are looking for someone with curiosity and a love of data, combined with a passion for designing and building high-quality data outputs and pipelines, along with:

• Solid experience in data engineering roles across ingestion and transformation pipeline development.
• High proficiency in SQL and preferably Python, with hands-on experience in modern data engineering practices and tooling (e.g., DBT, orchestrated ELT frameworks, CI/CD).
• Strong communication skills, able to translate technical concepts for non-technical audiences.
• Capability to mentor others, uplift engineering practices, and embed compliance-by-design principles.

Please Note:

Advertising for this vacancy close on Friday 2 October 2026. We review applications as they are received and may close advertising early.