Data Engineer
Kiwibank · 1001-5000 employees
What the role involves
- Building data solutions
- Writing code
- Supporting data platforms
What they ask for
Proven experience delivering data solutions using agile frameworks; proficiency in Python, AWS, Terraform, Snowflake, Airflow, DBT; experience with CI/CD, unit testing, API development, Docker, and data lake technologies.
About the job
- Grow your cloud data engineering career at Kiwibank
- 12 month fixed term role based in Wellington
- Wellbeing support, flexibility and benefits to help you thrive
Ko tātou tēnei - Hei hāpai ake i a koe | This is us. Where you matter.
This role is for an Engineer, Data Platform who is passionate about building cloud based solutions and developing their engineering capability. You’ll be working with a strong team of engineers to help deliver a modern cloud based data platform, supporting Kiwibank’s purpose of making Kiwi better off. You’ll have the opportunity to grow your technical skills, contribute to meaningful technology outcomes and be part of a team that values collaboration, discussion and continuous improvement.
Kō tātou tēnei. Hei kawe i ngā mahi kia tutuki | This is us. Where making an impact matters.
You’ll contribute to the delivery of a modern cloud based data platform, bringing strong engineering fundamentals, a passion for data and a collaborative mindset. This role is focused on delivering data solutions from requirements through to production using scrum, or another agile framework. You’ll write code and tests, contribute to CI/CD practices and work closely with other engineers to build and support high quality solutions. Experience with Python, Terraform, AWS, DBT, Snowflake and Airflow will support your success, along with an interest in backend development, DevSecOps, data lake technologies, API development, Docker and enabling AI adoption within data platforms.
Ko tātou tēnei. Kia hāpai i ō pūkenga |This is us. Where your expertise matters.
For this role we’re looking for a data platform engineer who enjoys building cloud based solutions, writing quality code and working collaboratively with engineering teams. We would love to hear from you if you have experience in the following:
- Proven experience contributing to data solutions from requirements to production using scrum or another agile framework
- Confident in Python or a similar language, with sound development and testing capability
- Strong interest in data, backend development and building solutions for engineers
- Experienced in working within DevSecOps environments and supporting the solutions you build
- Proficient in cloud based data platform technologies such as AWS, Terraform, Snowflake, Airflow and DBT
- Experienced in modern engineering practices across CI/CD, unit testing and as code techniques
- Confident in working with API development, Docker and data lake technologies
- Strong interest in implementing AI solutions or enabling AI adoption within data platforms
You do not need to tick every box here to be considered! Above all we’re looking for a collaborative engineer who enjoys writing code and tests, learning new environments quickly and helping deliver a modern cloud based data platform.
Tono mai |Apply Now.
Applications close on 24th August, 2026. We will be reviewing resumes throughout the advertising period and reserve the right to withdraw the ad at any time.
Ko tātou tēnei - Hei hāpai i a koe, me tō whānau |This is us. Where you and your whānau matter.
Making a difference for all Kiwi starts with making a difference for our people. Flexibility, growth, challenging and rewarding work, this is Kiwibank. A place where you can belong and thrive, we are as ambitious as we are caring. We have big ideas and big plans. For you, for Kiwibank and for all Kiwi. We are Kiwi making Kiwi better off and that means you too!