Data Engineer

New Zealand Government; New Zealand; On-site; NZD 103,000 - 135,000; Full time

Benefits offered by this job

5 weeks annual leave

15 days sick leave

Flexible working arrangements

Professional development opportunities

Employee-led networks

Job summary

WorkSafe New Zealand is seeking a Data Engineer to design, build and maintain data infrastructure powering reporting, analytics and decision‑making across the organisation. You will develop ETL/ELT pipelines, ensure data quality and governance, and collaborate with analytics, architecture and security teams while leveraging Azure Synapse and PySpark.

This role supports public service delivery, offering flexible work arrangements and a supportive, inclusive environment with generous leave

Qualifications

• Experience with data storage solutions including data warehouses and data lakes.
• Experience developing and optimizing ETL/ELT processes.
• Familiarity with government data standards, privacy frameworks and cloud platforms.
• Proficiency with data modelling and database management.
• Commitment to public service and ethical data use.
• Excellent communication and collaboration skills in cross-functional teams.
• Degree in computer science or related field and extensive comparable knowledge and experience.
• Experience with Azure Synapse & PySpark preferred.

Responsibilities

• 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 implementing 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.

Skills

ETL/ELT development

Data pipelines

Data modelling

Database management

Azure Synapse

PySpark

Communication skills

Education

Degree in computer science or related field

Tools

Azure Synapse

Job description

About UsHe aha te mea nui o tenei ao? He tangata, he tangata, he tangata.Hello, Kia ora, Noa'ia, Talofa lava, Mauri, Malo e lelei, Talofa, Ni Sa Bula Vinaka, Fakaalofa lahi atu, Malo ni, Kia orana , n ho, 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 purposeKorero mai- we engage meaningfullyTiakina mai- we are entrusted with a duty of careAbout your team / Ko te timaEnterprise 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 / O te turangaAs 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 tou ake mahiDesign, 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 nga pukenga ouExperience working with data storage solutions such as data warehouses and/or data lakes, including cloud-based platformsDemonstrated experience developing and optimising ETL/ELT processes to support data availability, performance and reliabilityFamiliarity with government data standards, privacy frameworks and cloud platformsProficiency with data modelling and database managementA commitment to public service and ethical data useExcellent communication and collaboration skills in cross functional teamsDegree in computer science or a related field and extensive comparable knowledge and experience gained in a similar roleExperience with Azure Synapse & Pyspark preferredNau te rourou, naku te rourou, ka ora ai te iwi.Salary range / Awhe utuAs 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 leave15 days sick leaveFlexible working arrangementsA Reward and Recognition Framework that celebrates the impact our kaimahi make - your mahi mattersProfessional development opportunitiesEmployee-led networks to promote the goals and needs of our diverse communities (Rainbow, Pacific, Women's and Tu Rangatira Maori Network)How to apply / Me pehea te tonoClick 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