Lead Data Engineer

The opportunity

Chubb Life is aiming to be New Zealand's number one life insurer, and good data is a big part of getting there. As Lead Data Engineer, reporting to the Head of Data and Insights, you'll design, build and run the platform the rest of the business relies on.

We're moving off legacy systems onto a modern cloud platform on Azure. You'll help lead that move and build the pipelines and data products behind reporting, self service BI and advanced analytics.

This is a senior role and you'll still be hands on. Other engineers and analysts will come to you for code reviews, design advice and mentoring.

Location: Wellington 

Role Type Full time, Permanent

Work Style Hybrid

Why this role

• You get to build the new platform, not just patch the old one

• You stay on the tools, with no people to manage

• Your standards become how the team works

• You'll have Chubb's global data team and its scale behind you

• Your work feeds decisions right across the business

What you’ll own

• Build scalable, secure pipelines on Azure

• Design ELT/ETL patterns, data models and reusable components

• Set standards for testing, version control, CI/CD and documentation

• Review code, guide designs and mentor others

• Keep the platform reliable, well monitored and cost efficient

• Work with BI, data science and IT to build what's actually needed

What you’ll bring

• A solid track record of getting data pipelines and platforms into production

• Deep hands on experience with cloud platforms and tools like Databricks or Snowflake

• Strong SQL and Python, including processing data at scale

• A good understanding of warehouses, lakes and lakehouses, plus data quality and governance

• Experience mentoring others and influencing teams across functions

• You're comfortable in an agile setup with shifting priorities

You don’t not need to meet every requirement to apply. If this role sounds like a strong fit for your experience and the kind of environment where you would do your best work, we’d love to hear from you.

If you'd rather build a platform than babysit one, apply now.

What we offer

• Flexible & Hybrid working

• Group Life, Trauma, Income, Healthcare and Travel Insurance 

• Additional annual leave

• Kiwisaver paid on top of base salary

• Annual Bonus

• Stock Purchase options 

• Wellbeing subsidy and partner discounts

• Endorse my cause & payroll giving 

How we work

Our values shape how we work and what we look for in our people:
Teamworkwe back each other and work together to get the best outcome
Integrity we do the right thing and hold ourselves to high standards
Customer focus we keep customers at the heart of our thinking and decisions
Exceed we aim high, move with purpose, and deliver beyond expectations
Respect we value people, perspectives, and the contribution everyone brings

About Chubb Life NZ

Chubb Life Insurance New Zealand Limited is one of the country’s leading life insurers. Formerly known as Cigna, we’ve been operating in New Zealand for more than a century and are committed to being there for our customers when they need us most.

Learn more about Life at Chubb

Applications are reviewed as they are received, and as such, the role may close prior to the deadline date.

#ChubbLifeNewZealand

#LI-AH2 

• Design, build and maintain scalable, secure Azure‑based data pipelines and ELT/ETL processes.
• Develop reusable data models and components supporting enterprise reporting, self‑service BI and advanced analytics.
• Establish and enforce coding standards, version control, testing, documentation and CI/CD for all data pipelines.
• Ensure data quality, reliability and accessibility for analytics and business intelligence initiatives.
• Provide hands‑on technical leadership, code reviews and mentorship to data and analytics engineers.
• Act as the primary technical liaison for the Data Technology team, influencing architecture decisions.
• Implement resilience, observability and alerting mechanisms; manage incidents and runbooks.
• Continuously optimise platform performance, reliability and cost on Azure.
• Maintain comprehensive technical documentation, runbooks and knowledge repositories.
• Collaborate with cross‑functional stakeholders across multiple countries to deliver fit‑for‑purpose data solutions.