Kia ora!
At Air New Zealand, we're harnessing the power of data and AI to transform how we operate, innovate, and serve our customers. As a Senior AI Data Engineer, you'll play a key role in designing and delivering trusted, AI-ready data products and intelligent solutions that drive analytics, automation, and AI-powered decision-making across the airline. Working within our highly engaged Data & AI Chapter area and Agile Tribes spanning Commercial, Corporate, Cargo, Operational, and Engineering domains, you'll collaborate with diverse teams to solve complex business challenges at scale.
This is an exciting opportunity to combine deep data engineering expertise with emerging AI technologies including AI agents, semantic retrieval, and AI-assisted engineering - to create reusable, governed, and high-performing data solutions that shape the future of aviation.
How you’ll make an impact
- Enable AI capabilities including intelligent automation, semantic retrieval, and AI-assisted workflows
- Design and deliver scalable, trusted data products that support analytics, automation, and AI solutions
- Enable data, information, knowledge or assets required for GenAI agents to use effectively
- Build and optimise cloud-based data pipelines, semantic models, and reusable engineering frameworks
- Drive engineering excellence through DataOps, CI/CD, automated testing, and observability practices
- Ensure data products are governed, discoverable, secure, and aligned with enterprise standards
- Partner with stakeholders to solve complex business challenges using data and AI
- Mentor engineers and contribute to engineering standards, capability uplift, and innovation
What we’re looking for
- Proven experience delivering enterprise-scale data products and modern cloud data platforms
- Strong expertise in SQL, data modelling, analytics engineering, and ELT/ETL design, preferably in Snowflake
- Experience with cloud technologies such as AWS, Azure, or Google Cloud
- Strong understanding of DataOps, CI/CD, automation, testing, and Infrastructure as Code
- Experience enabling AI solutions, including AI agents, semantic retrieval, intelligent automation, or AI-assisted engineering
- Excellent stakeholder engagement skills with the ability to translate technical concepts into business outcomes
- Relevant tertiary qualification and industry certifications are advantageous
If you bring most of this experience, along with transferable skills and the drive to grow, we’d love to hear from you.
Why join Air New Zealand?
We want our people to live their best lives and access great benefits that support their lives outside work. Benefits include:
- Discounted travel for you, your friends, and whānau
- FlexiLeave, giving you the option to purchase up to four additional weeks of leave each year
- Learning and development opportunities to support your growth and career progression
- KiwiSaver and FlexiSaver contributions to help you plan for the future
Ready for take-off?
If you’re passionate about building trusted data foundations, enabling AI at scale, and influencing the future of engineering, we’d love to hear from you. Join a team where innovation, collaboration, and customer impact go hand in hand.
Applications close on 22 July 2026.
At Air New Zealand, we are proudly committed to diversity, equity and inclusion and believe in creating a truly inclusive workplace where everyone can be themselves and thrive. Our people are our greatest asset – because while everything else we do in our operation can be replicated by our competitors, it is our people that truly set us apart. We are firm believers in celebrating the differences and diversity of thought our people bring to their roles. We encourage candidates from diverse backgrounds, including those with a disability, additional health and mental health needs, and/or are neurodiverse to apply for our roles.
If you have encountered any accessibility barriers and require further information or reasonable accommodations to our recruitment process, please reach out to the recruiter listed on this job advert so they are able to support you to freely participate equitably in our recruitment and selection process.
Whāia te pae tawhiti kia tata. Ko te pae tata whakamaua, kia tina.
"Seek to bring distant horizons closer. Once near, seize them and make them your reality."
Skills Required
- Proven experience delivering enterprise-scale data products and modern cloud data platforms.
- Strong expertise in SQL.
- Data modelling.
- Analytics engineering.
- ELT/ETL design.
- Experience with Snowflake (preferable).
- Experience with cloud technologies such as AWS, Azure, or Google Cloud.
- Strong understanding of DataOps, CI/CD, automation, testing, and Infrastructure as Code.
- Experience enabling AI solutions, including AI agents, semantic retrieval, intelligent automation, or AI-assisted engineering.
- Excellent stakeholder engagement and ability to translate technical concepts into business outcomes.
- Relevant tertiary qualification and industry certifications.
What We Do
Kia Ora, Ni Hao, Gidday, konnichiwa, Talofa, Bula, Hello and Welcome to Air New Zealand, your journey starts here. Air New Zealand is one of the world's leading airlines, known around the world, not just for our name and our innovation but also for our reputation. We are recognised as "New Zealand's Most Reputable Organisation" for our strong leadership, customer service orientation, innovation, brand, corporate values, and our role as a strong ambassador for New Zealand. Each year we make sure our passengers who fly to, from and within New Zealand enjoy our uniquely Kiwi way of doing things. At Air New Zealand, we are all about people. Ambitious, helpful, proud, down-to-earth, caring people, who look after the needs of more than 13 million people every year. We look at ways of making the experience better for our customers and allowing people to experience our New Zealand. Our people drive us to be among the world's best, frequently winning awards in all aspects of our operations, testament to the Air New Zealanders living this culture daily, in the way they deliver customer experience. Whilst it's led from the top, it is delivered by thousands of people, constantly doing things that make a big difference!
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