Senior Data Engineer

Randstad

Spreydon-Cashmere Community

On-site

NZD 121,000 - 158,000

Full time

2 days ago
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Benefits offered by this job

5 weeks annual leave
15 days sick leave
Flexible working arrangements
Reward and Recognition Framework
Employee-led networks

Job summary

WorkSafe New Zealand is hiring a Senior Data Engineer to design, build and maintain data platforms and pipelines powering analytics, BI and AI across the organisation. You will integrate data from multiple sources, deliver scalable, secure data solutions, and collaborate with analysts, data scientists and technology teams.

You will apply engineering best practices, optimise data quality and performance, and contribute to production-ready data assets.

Qualifications

  • 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.
  • Familiarity with Azure data services preferred.

Responsibilities

  • Work with analysts, data scientists, and technology teams to deliver data solutions.
  • Apply engineering best practices to support AI and analytics solutions.
  • Proven ability to design and deliver production-ready data platforms and pipelines.
  • Hands-on knowledge of cloud-based data platforms and modern data architectures.

Job description

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Permanent, full-time position - can be based at any WorkSafe office location

About Us

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
  • Tiakina mai - we are entrusted with a duty of care

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.
  • 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

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

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.

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.

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