Associate Data Engineer

BNZ Place Auckland, 80 Queen Street, New Zealand

Bank of New Zealand

BNZ everyday and savings accounts, app and online banking, home loans/mortgages, credit cards, insurance, investments, foreign exchange and more.

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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.

We have an excititng opportunity for an Associate Data Engineer to join our Data, Digital & Analytics team. In this role, you will be responsible for supporting the development, monitoring and maintenance of analytical data products that meet BNZ’s business requirements and quality.

Mō te Tūranga | About the Role

We sat down with our Head of Data, and they let us know the following about the role.

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

The successful candidate is expected to build data products by:

  • Gathering and understanding data requirements and limitations
  • Exploring raw and conformed data Using SQL or python to transform data
  • Automating pipelines using data engineering tools such as Apache Airflow, DBT and Fivetran Completing code peer reviews

What is the team culture and environment like?

The team is made up of data engineers at all levels of experience who regularly share their recent projects, learnings and tips & tricks.

In the wider group (Digital, Data & Analytics) we foster an open, flexible and inclusive environment that supports collaboration within the immediate team and across the teams in the wider DD&A organisation.

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.

This role provides lots of opportunities to develop skills and experience in an exciting area that is expanding.

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

We are looking for someone with curiosity and a love of data combined with a love of programming to create data outputs and pipelines, along with:

  • Eagerness to focus on their development within the Data Engineering space
  • Highly Proficient in SQL or Python
  • A background in modern data engineering practices
  • The ability to translate technical information to a non-technical audience
  • Knowledge of an agile environment using DevOps practices

What is your favourite thing about working for BNZ?

There are great benefits to working at BNZ such as 6 weeks annual leave, discounts on banking products and health insurance for you and your loved ones. But there are also great advantages of being part of a team that can directly impact the lives of almost 1 million New Zealanders. We believe that by creating simple, accessible, and useful tools for our customers we enable them to achieve their goals and become financially better off.

Nau Mai ki te Pēke o Aotearoa | Come to the Bank of New Zealand

Please note applications close Friday 4 July 2025. We will be reviewing applications as they are received therefore 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: 04 July 2025
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Airflow Banking dbt DevOps Engineering FiveTran Pipelines Python SQL Teaching

Perks/benefits: Career development Flex hours Health care

Region: Asia/Pacific
Country: New Zealand

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