Data Engineer

About Us

He aha te mea nui o tēnei ao? He tangata, he tangata, he tangata.

Hello, Kia ora, Noa'ia, Talofa lava, Mauri, Mālō e lelei, Tālofa, Ni Sa Bula Vinaka, Fakaalofa lahi atu, Mālō ni, Kia orana , nǐ hǎo, Kamusta.

WorkSafe New Zealand | Mahi Haumaru Aotearoa is the primary workplace health and safety regulator. Our vision is that everyone who goes to mahi comes home healthy and safe. We live by our values:

Whakakotahi- we are united in a strong purpose

Kōrero mai- we engage meaningfully

Tiakina mai- we are entrusted with a duty of care

About your team / Ko te tīma

Enterprise Planning and Implementation is a new group established at WorkSafe to strengthen planning, coordination, and implementation across the organisation, particularly to improve how work is prioritised, sequenced, and supported through to delivery.

The Data, Analytics and AI team is at the heart of enabling data-driven decision-making across WorkSafe and is responsible for building and maintaining the data assets to meet WorkSafe's data, insights and intelligence needs. Working closely with analysts, architects, engineers, and business stakeholders, the team develops the data foundations that support reporting, analytics, and organisational performance.

We have a team culture that values the varied perspectives and skillsets that each team member brings - with respect as our central touchstone.

About the role / Ō te tūranga

As our Data Engineer you'll play a key role in designing, building, and maintaining the data infrastructure that powers our organisation. Working closely with our Digital Information and Services team, you'll develop and support robust data pipelines, storage solutions, and data platforms that ensure information is reliable, accessible, and secure. You'll apply your technical expertise to enable the efficient flow and management of data, supporting reporting, analytics, and operational decision-making while helping to strengthen data quality, performance, and governance across the organisation.

What You'll Do/ Ko tōu ake mahi

Design, build and maintain data infrastructure, including pipelines and storage solutions, to support reliable, secure and accessible data across the organisation.

Develop and optimise data pipelines for extraction, transformation and loading (ETL/ELT) to ensure efficient, scalable and reliable data processing and flow.

Ensure data quality and integrity by implementation of validation, cleansing, reconciliation and error handling processes.

Monitor and maintain data platforms to ensure performance, reliability, scalability, and operational stability of data systems.

Support data governance, security and access controls to protect sensitive information and meet regulatory requirements.

What You'll Bring / Ko ngā pukenga ōu

Experience working with data storage solutions such as data warehouses and/or data lakes, including cloud-based platforms

Demonstrated experience developing and optimising ETL/ELT processes to support data availability, performance and reliability

Familiarity with government data standards, privacy frameworks and cloud platforms

Proficiency with data modelling and database management

A commitment to public service and ethical data use

Excellent communication and collaboration skills in cross functional teams

Degree in computer science or a related field and extensive comparable knowledge and experience gained in a similar role

Experience with Azure Synapse & Pyspark preferred

Nāu te rourou, nāku te rourou, ka ora ai te iwi.

Salary range / Awhe utu

As part of our remuneration framework, the full annual salary range is $103,059-$135,004, with an expected appointment range of $103,059 - $113,707 (KiwiSaver/SSRSS employer contributions are additional).

We offer a range of benefits including:

5 weeks annual leave

15 days sick leave

Flexible working arrangements

A Reward and Recognition Framework that celebrates the impact our kaimahi make - your mahi matters

Professional development opportunities

Employee-led networks to promote the goals and needs of our diverse communities (Rainbow, Pacific, Women's and Tū Rangatira Māori Network)

How to apply / Me pēhea te tono

Click Apply, and upload your CV and cover letter.

AI can be a helpful tool when preparing your application, but what matters most to us is you. Please ensure your CV, cover letter, and responses reflect your own skills, experiences, and perspective. We want to hear your real story - your passion, your personality, and what makes you unique. Don't let AI do all the talking - let it support you, not replace you.

To be considered for this position, you must have the legal right to live and work in New Zealand.

Learn more about working with us: Careers | WorkSafe.

Applications close: 11.59pm, 22 October 2026