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Salary
$66k – $161k per year (Estimated)
Location
Remote/Hybrid (Auckland, New Zealand)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
BlinkPay is a New Zealand fintech founded in 2019. Its open banking payments let merchants take direct account-to-account transfers. The company is one of the country's accredited API providers.

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. There is the opportunity for growth, learning and career development. No two days are the same.

Ko mātoutēnei| 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.

MōteTūranga| About the Role

We sat down with our Head of Data - Corporate & Riskand 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 dayto day tasks the person in this role will complete?

  • Understand data gaps and solutioning requirements to develop and document appropriate dataengineering solutions to enable data engineers.
  • Utilise and uplift data engineering frameworks, toolsand 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, learningsand tips & tricks.

Wefoster an open, flexibleand inclusive environment that supports collaboration within the immediate team and across the teams in the wider Technologyorganisation.

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 termdata 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-qualitydata outputs and pipelines, along with:

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

Nau Mai ki tePēkeo Aotearoa | Come to the Bank of New Zealand

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

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.”

Closing Date: 02 October 2026

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

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