Data Engineer: Build Pipelines for AI and Analytics

New Zealand Government; Wellington; Hybrid; NZD 101,000 - 131,000; Full time

Job summary

ACC is seeking a Data Engineer in Wellington to develop and continuously improve scalable data pipelines, data products and governed data that enable trusted analytics across enterprise platforms. You will support frontline services and decision-making, including AI initiatives, by delivering high-quality pipelines and data assets.

The role emphasizes working across operational and analytical environments, with a strong focus on security, data quality and lineage, contributing to New Zealand’s

Qualifications

• Proven experience developing and supporting data pipelines, data models and data products.
• Strong capability in scripting, data transformation, orchestration, testing, monitoring and automation.
• Experience with large, sensitive and complex datasets from multiple systems.
• Knowledge of data quality, metadata, lineage, privacy, security and access management.
• Experience with modern cloud data platforms, CI/CD practices and DataOps or DevOps approaches.

Responsibilities

• Develop, build and continuously improve scalable data pipelines, data products, and governed data across enterprise platforms.
• Support frontline services, enterprise decision-making and AI initiatives.
• Collaborate across operational and analytical environments to enable trusted data.

Skills

Data pipelines

Data models

Data products

Scripting

Orchestration

Testing

Monitoring

Automation

CI/CD

DataOps

Education

Data engineering degree

Tools

CI/CD tooling

Data governance tooling

Job description

ACC is seeking a Data Engineer in Wellington to develop and continuously improve scalable data pipelines, data products and governed data that enable trusted analytics across enterprise platforms. You will support frontline services and decision-making, including AI initiatives, by delivering high-quality pipelines and data assets.

The role emphasizes working across operational and analytical environments, with a strong focus on security, data quality and lineage, contributing to New Zealand’s