Hiring.Camp

Data Engineer

Nab

·

Today

Location
BNZ Place Wellington, 1 Whitmore Street, New Zealand · BNZ Place Auckland, 80 Queen Street
Workplace
Hybrid
Type
Full-time
Department
Engineering
Closing date
Today
Source
Workday

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. 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. 

teTūranga | About the Role 

We sat down with our Head of Data – Core Banking (who you'll report to), and they let us know the following about the role:  

This is a permanent, full time opportunity based in Auckland or Wellington. It is a hybrid position 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.  

In the wider group (Data, Technology) 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 core banking subject area (e.g. Lending, Products and Transactions), 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 highquality 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 handson 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 nontechnical audiences  
  • Capability to mentor others, uplift engineering practices, and embed compliancebydesign principles  

 

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

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: 14 August 2026

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

Skills

PythonCI/CDSQLData EngineeringCompliance

Similar Jobs

30

Engineer Data

Empower · KA Bangalore, India · Hybrid

Today

Data Engineer

Accenture · Bengaluru, BDC7A, India

Today

Data Engineer

Accenture · Bengaluru, BDC7A, India

Today

Data Engineer

Accenture · Indore, INDC1A, India

Today

Data Engineer

Accenture · Bengaluru, BDC7A, India

Today

Data Engineer

Accenture · Cebu City, e-Bloc Tower 2, Philippines

Today

Data Engineer

Shyftlabs · Coimbatore · Hybrid

Yesterday

Data Engineer

Gore Mutual Insurance · Cambridge, Ontario, Canada +1

Yesterday

Data Engineer

Cooke Aquaculture · Saint John, NB

Yesterday

Data Engineer

PA Consulting Group · Bristol, England, United Kingdom · Hybrid

Yesterday

Data Engineer

Keystone Solutions · Namur · Onsite

Yesterday

Data Engineer

HighTower Advisors · Chicago, IL, USA

Yesterday

Data Engineer

Candidate Experience Site - Department of Internal Affairs · Wellington, New Zealand, NZ

Yesterday

Data Engineer

Guidehouse is · GH Office: San Antonio, TX (9903 Westover), United States of America +5

Yesterday

Data Engineer

Opengov · India | Pune · Onsite

Yesterday

Data Engineer

Hadrian Automation · Los Angeles, CA · Onsite

Yesterday

Data Engineer

Accenture · Pune, PDC3B, India

Yesterday

Data Engineer

Accenture · Pune, PDC5A, India

Yesterday

Data Engineer

Booz Allen Hamilton · USA, CO, Colorado Springs (150 Vandenberg St), United States of America

Yesterday

Data Engineer

Booz Allen Hamilton · USA, VA, Chantilly (14151 Park Meadow Dr), United States of America

Yesterday

Data Engineer

Booz Allen Hamilton · USA, VA, Chantilly (14151 Park Meadow Dr), United States of America

Yesterday

Data Engineer

Booz Allen Hamilton · USA, VA, Chantilly (14151 Park Meadow Dr), United States of America

Yesterday

Data Engineer

Booz Allen Hamilton · USA, VA, Chantilly (14151 Park Meadow Dr), United States of America

Yesterday

Data Engineer

Booz Allen Hamilton · USA, GA, Atlanta (575 Morosgo Drive NE), United States of America +1

Yesterday

Data Engineer

Arrow · Pune, Blue Ridge-Hinjewadi, India

Yesterday

Data Engineer

Nttlimited · Melbourne, Australia +2 · Hybrid

Yesterday

Data Engineer

Manulife and John Hancock Careers · USA, California - Full Time Remote, United States of America +1 · Remote

Yesterday

Data Engineer

Accenture · Bengaluru, BDC6F, India

Yesterday

Data Engineer

Accenture · Pune, PDC3C, India

Yesterday

Data Engineer

Accenture · Bengaluru, BDC6F, India

Yesterday
Data Engineer at Nab | Hiring.Camp