Analytics Engineer

At IAG, we’re ready for you. We're the largest general insurance group in Australia and New Zealand. Our family of brands turns the IAG purpose of making your world a safer place into action by helping everyday Aussies and New Zealanders, supporting their ambitions and making insurance accessible.   Play a hands‑on role in building and maintaining the data foundations that power trusted reporting across the business. As an Analytics Engineer supporting Intermediate Insurance Australia’s large‑scale enterprise data transformation, you’ll focus on designing and delivering robust enhancement to the data pipelines and models that serve reporting, AI-enabled solutions and downstream analytics needs. You’ll turn complex source data into well‑structured, reliable data products and leverage modern AI assisted engineering practices to improve productivity, quality and delivery outcomes. This is a build‑focused role for someone who enjoys shaping data flows, understanding how data fits together, and making sure data is ready to be used with confidence for reporting, analytics and emerging AI use cases.   This is a permanent role based in Gadigal Country (Darling Park 2, Sydney).   What You'll Do
- Design, build, and maintain scalable data pipelines that deliver high‑quality data for reporting and analytics consumption.
- Develop and refine data models that support consistent, reliable reporting across multiple releases and timelines.
- Work closely with the Data teams to align data solutions with reporting requirements and broader platform design.
- Review upstream data designs and identify impacts on downstream data models and service layers.
- Partner with engineers, platform teams, and stakeholders to troubleshoot issues and evolve data structures.
- Contribute to delivery planning, stand‑ups, and program updates within a fast‑moving transformation environment.

What You'll Bring

- Proven experience building data pipelines and data models in complex enterprise environments.
- Strong SQL capability, with hands‑on experience using modern data platforms such as BigQuery and dbt.
- Solid understanding of data modelling principles and how data is consumed for reporting and analytics.
- Experience working with CI/CD‑enabled data engineering practices and production‑grade pipelines.
- Experience in applying AI-assisted development practices, generative AI tools and machine learning workflows with a willingness to apply AI to improve engineering productivity and data outcomes.
- Clear communication skills and the ability to collaborate closely with technical and non‑technical stakeholders.
- Exposure to financial services, insurance, or large transformation programs is desirable but not essential.
  What We Offer
- Boosted superannuation with 13% as standard.
- 20 days annual leave + 5 days MyLeave (extra leave for what’s important to you).
- Work from home and many more flexibility options with myFlex.
- Up to 50% off personal insurance, including home and motor insurance.
- Partner discounts on private health insurance, tech & appliances, and many more.
- Access to LinkedIn Learning, the award-winning IAG Academy, study assistance and secondment opportunities.
*employment type eligibility criteria apply   Applications close: Friday 9 October 2026 11:59PM AEDT   Adjustments and Support   If you require any support or adjustments to participate equitably in our recruitment process, we encourage you to reach out to [email protected] for a confidential conversation.     More About Us   As part of IAG you'll enjoy a world of career opportunities, a purpose-led place focused on creating connection and belonging, and where you can create meaningful impact every day and grow your career beyond the expected. That’s not just words. It’s our people promise. We're ready for you with unexpected opportunities for your career, your work-life and your ability to make a difference. We celebrate all viewpoints shaped by life experiences and culture, and are guided by the knowledge and voice of Aboriginal and Torres Strait Islander peoples, businesses, and communities. We collaborate on Indigenous-led solutions that enable growth and create meaningful change for our customers and employees.