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Data Engineer

New Zealand Government•Wellington, Greater Wellington
Full-time3-7
NZ$101k - NZ$131k
per year
👁️ 0 views•📝 0 applications•Posted 9/15/2026•Expires 10/19/2026
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Job Description

Permanent | Wellington (preferred) | 2 roles * Develop and deliver modern data pipelines, products and solutions * Help enable analytics, AI and enterprise decision-making with trusted data * Enjoy ACC's market-leading 9% superannuation contribution About us | Mō mātou ACC is a trusted and high'performing organisation, providing care, supporting recovery and promoting injury prevention, now and into the future.

You can find more about ACC and the work we do at www. acc. co. nz About the role | Mō te tūranga mahi As a Data Engineer, you will develop, build and continuously improve scalable data pipelines, data products, and governed data that enables trusted, secure and high-quality data across ACC's enterprise platforms.

Working across operational and analytical environments, you will support frontline services, enterprise decision-making and future-focused initiatives including AI and advanced analytics.

This is an opportunity to make a meaningful impact by helping ACC deliver better outcomes for New Zealanders and contributing to keeping Kiwis safe at work, at home, and everywhere in between. The appointing salary for this role is $101,287 to $131,077 based on experience.

ACC offers a comprehensive benefits package which at present includes an advantageous superannuation scheme (9% contribution) with features like no mandatory employee contribution, optional life and income protection insurance.

About you | Mōu You will bring: * Proven experience developing and supporting data pipelines, data models and data products. * Strong capability in scripting, data transformation, orchestration, testing, monitoring and automation.

* Experience working with large, sensitive and complex datasets from across multiple systems. * Knowledge of data quality, metadata, lineage, privacy, security and access management practices. * Experience with modern cloud data platforms, CI/CD practices and DataOps or DevOps approaches.

* The ability to translate business requirements into practical technical solutions. * Strong communication, collaboration and stakeholder engagement skills. * A relevant tertiary qualification in data engineering, computer science, software engineering, mathematics or equivalent practical experience.

* Understanding of Te Tiriti o Waitangi and Māori Data Sovereignty principles. * A continuous improvement mindset and commitment to delivering trusted, high-quality outcomes.

Working at ACC | Mō ACC At ACC, we embrace the rich tapestry of Aotearoa New Zealand's cultures and are dedicated to providing equitable opportunities.

We know that a diverse and inclusive team helps us meet the needs of our customers, and we encourage applications from individuals of all backgrounds, ethnicity, national origin, gender identity, age, and those with diverse abilities. It's important to us that people are free to be themselves at work.

Here are some ways we encourage that: * Employee networks to support our colleagues from diverse backgrounds. * The option to explore flexible working that suits your needs and ours.

How to apply | Me pēhea te tuku tono Please attach your CV and cover letter telling us why you would be a great fit and what strengths you would bring to the role. Applications will run through to Sunday 20 September 2026 11:59pm, however if an ideal candidate is found we may progress screening and interviewing sooner.

Applications can only be accepted through the ACC Career Website. For accessibility support or pātai (questions), email HRHelp@acc. co. nz quoting the Job Identification number next to the role title.

Required Skills

Data PipelinesData TransformationData OrchestrationData QualityMetadata ManagementData LineagePrivacy and SecurityAccess ManagementDataOpsCI/CD PracticesScripting (general)Cloud Data PlatformsData ModelingData ProductsLarge-Scale DatasetsTe Tiriti o Waitangi PrinciplesMāori Data SovereigntyTesting (Data)Monitoring (Data)Automation (Data)Advanced AnalyticsAIEnterprise Decision-MakingDevOps

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