Principal Cloud Data Engineer | Kaipuhanga Raraunga Kapua Matamua

Overview

Stats NZ is growing our technical leadership capability to deliver on one of the most ambitious public data modernisation initiatives in the country.

We are recruiting for :

Principal Cloud Data Engineer

• Drive the design and delivery of data pipelines, analytics environments, and automation that power our integrated, cloud-native data platform.

Stats NZ | Tatauranga Aotearoa is a Central Government employer of 1300+ people across Aotearoa.

We provide data and statistics to support the decisions of Government, Maori and Iwi organisations, businesses, NGOs, and New Zealanders.

Our work is About Aotearoa, for Aotearoa - data that improves lives today and for generations to come.

We welcome every gender, ethnicity, ability, religion, age, and background and encourage all our people to be their authentic selves.

What\'s in it for you?

| Nga hua ka riro ki a koe

We encourage you to go to our careers site to learn more about the Way We Work at Stats NZ and also check out our benefits.

We want working for us... to work for you!!

Other benefits of joining Stats NZ include :

Flu Vaccines, Employee Assistance Programme (EAP), Eye Tests and corporate rates for a variety of services and products

Develop and grow your career (coaching, training, study support, secondments)

Contribute to meaningful work that makes a difference to all people in Aotearoa

3 extra annual leave days (taken during Christmas office closure)

State of the art, 6-star green building in Wellington

The role | Te tunga

This role is critical to building secure, high-performing, and future-ready digital foundations for the decades to come.

Join us to shape how New Zealand manages, protects, and shares its most valuable public data.

Lead the development of robust, automated, and secure data pipelines for streaming and batch workloads.

Design reusable frameworks, libraries, and patterns that enable productivity and reliability at scale.

Uplift engineering practice and work closely with architects, analysts, and governance leads.

Optimise performance, cost-efficiency, and observability of platform workloads.

You\'ll need :

Deep technical experience with Spark, Delta Lake, and Azure Databricks.

Fluency in modern data engineering languages (Python, SQL), tooling (dbx, MLflow), and patterns.

Strong understanding of metadata, lineage, and data quality practices.

We understand transferable skills can come from experience gained from outside of work.

We encourage you to be you in your application.

We are committed to diversity, equity, inclusion and lifting our cultural capability.

You don\'t need to be knowledgeable in all these areas already, but you do need to be on board with learning and have a genuine interest and willingness to grow on this journey with us.

Tell us about yourself in your cover letter, what attracted you to this role, and what you would bring to Stats NZ.

How to apply | Me pehea te tuku tono

If this sounds like you, click on theApply nowbutton to be redirected to the application page on our careers site.

The position description is located on the right-hand side of the page.

We will be screening applications as we receive them to move swiftly to interview.

You may be asked to complete a pre-interview screen via phone or video.

Please let us know in your application if we need to make any specific accommodations during our process.

You must have the right to live and work in Aotearoa New Zealand.

Background and various pre-employment checks are part of our recruitment process.

Note to Recruitment Agencies : unsolicited CVs will not be accepted.

Job level(s) 4-6 years experience, 7+ years experience

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