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Health New Zealand | Te Whatu Ora is hiring a Data Platform Engineer to design, build and continuously improve enterprise-grade data platforms and pipelines across our organisation. You will implement cloud-based solutions, ensure security and scalability, and apply DevOps/DataOps practices to drive reliability.
You will work with Data Engineers, Analysts, Architects and product teams to translate business needs into robust, scalable data services that support strategic decision-making and
Health New Zealand | Te Whatu Ora is the country's largest employer, delivering universal public healthcare to 5 million New Zealanders.
We provide essential hospital, specialist, and community health services across 80+ locations - from large urban centres to rural towns and remote communities.
Our goal is to improve health outcomes for all New Zealanders by delivering equitable, accessible and innovative care.
As the Data Platform Engineer, you'll play a key role in designing, building, maintaining and continuously improving Health New Zealand's modern data platforms and engineering capabilities.
You'll work across the Corporate Data Platform to ensure our data services are secure, scalable, reliable and high-performing, supporting operational, financial and strategic decision-making across Health New Zealand.
A key focus of the role will be developing and supporting cloud-based data platforms, data pipelines, integration services and platform automation. You'll apply modern engineering practices including DevOps, DataOps, CI/CD and Infrastructure as Code to improve the reliability, consistency and efficiency of our data environment.
You'll work closely with Data Engineers, Analytics Developers, Data Architects, analysts, data scientists, product owners, stakeholders and technology teams to design and deliver fit-for-purpose solutions. You'll help translate business and technical requirements into robust, scalable solutions while ensuring alignment with enterprise architecture, security, privacy and data governance standards.
The role will also contribute to platform monitoring, troubleshooting and operational excellence, identifying opportunities to improve performance, automation, resilience and reliability. You'll take a proactive approach to resolving issues, managing technical debt and identifying opportunities to continuously improve the Corporate Data Platform.
This is an opportunity to work on enterprise-scale data capabilities that support better use of data across New Zealand's health system, while helping shape the technology and engineering practices that will support Health New Zealand into the future.
We're looking for an experienced Data Platform Engineer, Data Engineer, Cloud Engineer or similar technical professional who can combine strong engineering capability with a practical, collaborative approach.
Experience with Snowflake, dbt, GitHub, Azure DevOps, Jira, PowerShell, Bash or comparable technologies such as Databricks, Synapse or Fabric would be advantageous.
Experience working with healthcare information systems or healthcare datasets, AI tools and implementation, ERP systems such as Oracle Fusion, or within a large and complex public sector organisation would also be valuable.
An understanding of how to apply Te Tiriti o Waitangi in practice would be welcomed.
You'll be curious, adaptable and committed to continuous improvement, with the ability to balance operational support with longer-term platform development. You'll build trusted relationships across multidisciplinary teams and bring a strong sense of accountability, professionalism and integrity to your work.
Health New Zealand | Te Whatu Ora is dedicated to ensuring excellent healthcare for the people of New Zealand. We embrace a workforce that is diverse and inclusive so that we are better positioned to understand and service our community. We welcome applications from our diverse Māori, Pacific, disabled, and rainbow communities.
Job Reference:
Job Reference: HNZ/1949443
Location:
New Zealand - All Locations - Work from where you are
Job type:
Job type: Permanent Full time
Expertise:
Non-clinical - Information Technology - Information Technology