Permanent, full-time position - can be based at any WorkSafe office location
About Us
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 a Senior Data Engineer, you'll play a key role in designing, building, and maintaining the data platforms and pipelines that power analytics, business intelligence, and AI across WorkSafe. You'll work in a complex data environment, integrating data from multiple sources and delivering scalable, secure, and reliable solutions that support organisational decision-making. This is an opportunity to solve challenging technical problems while helping WorkSafe maximise the value of its data assets.
What You'll Do/ Ko tōu ake mahi
- Design and build scalable data platforms and pipelines.
- Integrate complex data sources into trusted data assets.
- Develop robust ETL/ELT processes for analytics and reporting.
- Optimise data performance, reliability, and availability.
- Troubleshoot and resolve complex data engineering issues.
- Collaborate with analysts, data scientists, and technology teams.
- Apply engineering best practice to support AI and analytics solutions.
What You'll Bring / Ko ngā pukenga ōu
- Proven ability to design and deliver production-ready data platforms and pipelines
- Strong capability in building ETL/ELT solutions across multiple and complex data sources
- Hands-on knowledge of cloud-based data platforms and modern data architectures
- Expertise in data quality, testing, monitoring, and performance optimisation.
- Relevant qualification in Data Engineering, Computer Science, Information Systems, or a related discipline.
- Familiarity with specific Azure data services such as Data Factory, Synapse, Fabric, or equivalent platforms is preferred
Nāu te rourou, nāku te rourou, ka ora ai te iwi.
Salary range / Awhe utu
As part of our remuneration framework, the full salary range for this position is $120,551-$158,328 with the expected appointment base salary $120,551 - $133,143 (KiwiSaver/SSRSS employer contributions are additional). From 1 April 2026 our KiwiSaver employer contribution increased to 3.5%.
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
WorkSafe has partnered with Randstad Digital for the recruitment of these vacancies. Please contact Amy Langhauser at amy.langhauser@randstaddigital.co.nz for a confidential discussion if you have any questions before applying.
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: https://www.worksafe.govt.nz/about-us/careers/
This vacancy has been established as part of changes to WorkSafe's organisational structure after a review of WorkSafe's operating model identified opportunities to improve role clarity, ways of working and organisational effectiveness. As part of these changes, WorkSafe has established a number of new roles to ensure we are well placed to meet expectations now and in the future.
Kaimahi whose roles were affected by the structure change will be given preference for all vacancies and will be considered in the first instance.
Applications close: 11.59pm, 14th September 2026
Please note that we will be shortlisting and reviewing applications as we receive them. We encourage you to apply early as we may withdraw advertising prior to the closing date above if the preferred applicant is identified sooner.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
