senior data engineer

Randstad Digital New Zealand; Christchurch; On-site; NZD 121,000 - 158,000; Full time

Benefits offered by this job

5 weeks annual leave

15 days sick leave

Flexible working arrangements

Reward and Recognition Framework

Professional development opportunities

Employee-led networks

Job summary

Randstad Digital New Zealand is recruiting a Senior Data Engineer for WorkSafe New Zealand. You will design, build, and maintain data platforms and pipelines across multiple sources to enable analytics, BI and AI initiatives.

Join a team delivering scalable, secure data solutions in a complex environment while collaborating with analysts, data scientists and engineers. A strong data engineering background and Azure data services experience are essential.

Qualifications

• Design and deliver production-ready data platforms and pipelines.
• -build reliable ETL/ELT processes for analytics and reporting.
• Hands-on knowledge of cloud-native data architectures and data integration.

Responsibilities

• 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.
• Optimize data performance, reliability and availability.
• Troubleshoot and resolve complex data engineering issues.
• Collaborate with analysts, data scientists and tech teams.
• Apply engineering best practices to support AI and analytics solutions.

Skills

Data platform design

ETL/ELT development

Cloud data platforms

Data quality & testing

Azure services familiarity

Education

Data Engineering / Computer Science degree

Associate Degree/Diploma in IT

Tools

Azure Data Factory

Azure Synapse

Azure Fabric

Job description

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

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 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.

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

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

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)

Applications close: 11.59pm, 14th September 2026

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.

Data Engineering

• Degree/Diploma in IT
• Associate Degree/Diploma