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Strong fit if you want senior public-sector data platform work in Wellington—architecture, reliability, and cross-team requirements—over commercial product metrics. Thin employer-review data means culture must be validated in interview.
As a Senior Data Engineer for New Zealand Government in Wellington, expect architecture and pipeline work: model and document databases, partner with architects and analysts on agency requirements, and design scalable, secure, reliable stores and transfer paths for public-service applications—not a pure product startup cadence.
The listing marks remote as no; expect on-site or local presence in Wellington.
Database architecture, models, and secure scalable design for government applications, collaborating with architects and analysts.
freeCodeCamp and Saylor are free; CS50 and Microsoft Learn are free to learn per the listed resources.
Public-domain labor data — prepare examples for 2–3 of these.
Website: govt.nz
The New Zealand Government is the central government through which political authority is exercised in New Zealand. As in most other parliamentary democracies, the term "Government" refers chiefly to the executive branch, and more specifically to the collective ministry directing the executive. Based on the principle of responsible government, it operates within the framework that "the [King] reigns, but the government rules, so long as it has the support of the House of Representatives". The Cabinet Manual describes the main laws, rules and conventions affecting the conduc…
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Senior Data Engineer — New Zealand Government | Wellington, Greater Wellington Role Overview We are seeking a Senior Data Engineer to join our team at the New Zealand Customs Service (Te Mana Ārai o Aotearoa) in Wellington. As a key player in our modernisation programme, you will be responsible for designing and building our next-generation analytics and reporting platform. Your Responsibilities Design and implement robust data pipelines and ETL processes. Develop and maintain scalable data warehousing solutions. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Ensure data quality, consistency, and security across the platform. Implement automated testing frameworks for continuous integration and deployment. Requirements Minimum of 7 years of experience in data engineering or a related field. Demonstrated expertise in big data technologies such as Apache Hadoop, Spark, Kafka, and SQL databases. Experience with cloud platforms like AWS, GCP, or Azure is preferred. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift). Strong understanding of ETL processes and data pipeline design. Proven ability to work in a fast-paced environment and manage multiple projects simultaneously. A Bachelor's degree in Computer Science or a related field is required; advanced degrees are preferred. About the Company The New Zealand Customs Service (Te Mana Ārai o Aotearoa) is dedicated to protecting the country’s borders and ensuring compliance with customs, biosecurity, and quarantine regulations. As a member of our team, you will contribute to critical national infrastructure while working in a dynamic and supportive environment. Next Steps To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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