Senior AI & Data Engineer

Posted 8 Days Ago
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Auckland, NZL
Hybrid
Senior level
Healthtech • Information Technology • Social Impact • Telehealth
The Role
Design and deliver cloud-based data platforms and pipelines using Microsoft Fabric/Azure. Build and deploy Generative AI, RAG and AI assistant solutions into production. Integrate data and AI services with enterprise systems. Establish data and AI governance, monitoring, quality and security. Partner with stakeholders and provide technical leadership and mentoring.
Summary Generated by Built In
Company Description

To tatou tikanga | Our Culture

Our kaimahi (employees) are passionate people, each driven to contribute to better health outcomes, with a focus on people experiencing inequity. We are focused on hiring kaimahi who live and work in the communities they serve. Whakarongorau Aotearoa (Whakarongorau) is committed to understanding and improving mana taurite (equal status) starts with the understanding of self and how we, as health professionals, think and behave each minute of each day to serve the health needs for Aotearoa. We are committed to ensuring our workforce reflects the community we support.

Ko wai mātou | About us

Whakarongorau, a social enterprise, is a virtual health and social services organisation with a proven record of connecting people seamlessly with care when they need it. Whakarongorau aims to be there when face to face health and social services cannot, providing consistent, clinically supported access to services for those in need or when people are unable to access other options due to location, time of day, financial or cultural barriers.

Job Description

Mō tēnei tūranga | About the role

Whakarongorau Aotearoa is on a journey to build an intelligent, data-driven health ecosystem that enables proactive care, operational excellence, and better outcomes for tāngata whai ora.

We are seeking an experienced Senior AI & Data Engineer on a contract basis (up to 10 hours a week) to help design, build and scale the data and AI capabilities that will underpin our future digital services. This is an opportunity to work on meaningful, high-impact initiatives that combine modern data engineering, Generative AI and intelligent automation in a complex and purpose-driven environment.

If you enjoy turning emerging technology into practical, production-ready solutions that create measurable value, we'd love to hear from you.

Ngā haepapa matua | Key responsibilities

  • Design and deliver modern data platforms, pipelines and trusted data products using Microsoft Fabric, Azure and cloud technologies.
  • Build and deploy Generative AI, RAG architectures, AI assistants and intelligent automation solutions from concept through to production.
  • Develop secure, scalable integrations between data platforms, AI services and enterprise systems.
  • Establish data and AI governance, monitoring, quality, security and responsible AI practices.
  • Partner with stakeholders across the organisation to identify opportunities where data, automation and AI can drive measurable value.
  • Provide technical leadership, mentor others and contribute to the growth of Whakarongorau Data, Analytics and AI capabilities.

Qualifications

Mōu ake | About you

You are a senior engineer with deep expertise across data platforms, cloud technologies and AI solutions. You're equally comfortable building scalable data foundations as you are developing innovative AI capabilities that solve real business problems.

You combine strong technical capability with commercial thinking, enjoy navigating complexity, and have a track record of delivering secure, production-ready solutions that create measurable value. Above all, you're curious, collaborative and passionate about using data and technology to improve outcomes for people across Aotearoa.

Ōu wheako ōu mātauranga hoki | Qualifications and Experience

  • Proven experience in Data Engineering, Analytics Engineering, AI Engineering or a similar discipline.
  • Demonstrated success delivering solutions within complex enterprise environments.
  • Strong experience building cloud-based data platforms and modern data architectures.
  • Advanced SQL and Python development skills.
  • Experience with Microsoft Fabric, Azure Data Platform, Databricks or comparable technologies.
  • Expertise delivering data pipelines, data warehouses, lakehouses and semantic models.
  • Experience implementing data governance, metadata management and data quality frameworks.
  • Hands-on experience designing and deploying Generative AI solutions in production environments.
  • Strong understanding of AI governance, observability, security and responsible AI practices.

Experience within healthcare, government, or public sector will be an advantage.

Additional Information

Ō mātou uara | Our values

E kimi ana mātou i ētahi tangata e kaha whakanui i ēnei uara - We are looking for people who align naturally with these values and will champion them

  • Mahia te mea tika / Do the right thing
  • Hihiri e te kounga / Motivated by quality
  • Ngākau nui ki te pai ake / Passion for better
  • Pokohiwi ki Pokohiwi / Shoulder to shoulder

Skills Required

  • Proven experience in Data Engineering, Analytics Engineering, AI Engineering or a similar discipline.
  • Demonstrated success delivering solutions within complex enterprise environments.
  • Strong experience building cloud-based data platforms and modern data architectures.
  • Advanced SQL development skills.
  • Advanced Python development skills.
  • Experience with Microsoft Fabric, Azure Data Platform, Databricks or comparable technologies.
  • Expertise delivering data pipelines, data warehouses, lakehouses and semantic models.
  • Experience implementing data governance, metadata management and data quality frameworks.
  • Hands-on experience designing and deploying Generative AI solutions in production environments.
  • Strong understanding of AI governance, observability, security and responsible AI practices.
  • Experience providing technical leadership and mentoring others.
  • Experience within healthcare, government, or public sector.
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The Company
350 Employees
Year Founded: 2014

What We Do

Whakarongorau Aotearoa is a social enterprise that operates New Zealand's government-funded national telehealth services. It provides free, 24/7 virtual health, mental health, and social support services across seven digital channels, serving as a digital front door to care. The organization focuses on triage, prevention, and wellbeing, ensuring equitable access to wellness and connecting people across Aotearoa with the appropriate healthcare services they need.

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