Data Engineer

IAG; Sydney; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Boosted superannuation 13%

20 days annual leave + 5 MyLeave

Up to 50% off personal insurance

Partner discounts on private health

20 weeks paid parental leave

LinkedIn Learning & IAG Academy

Secondment opportunities

Job summary

IAG is hiring a data engineer to join our analytics team in Australia. You’ll design and scale data pipelines, build reusable data models, and apply ML techniques to unlock business value. Work with stakeholders to translate challenges into trusted data solutions and drive AI-enabled decisions.

This permanent full-time role offers exposure to modern cloud data platforms and cross-country collaboration, with opportunities to grow in data engineering, analytics and emerging technologies.

Qualifications

• Experience building data pipelines with Python, SQL and cloud platforms.
• Curiosity about AI, ML and applying technology to business problems.
• Ability to translate technical concepts for stakeholders.
• Experience with data models, quality practices and large datasets.
• Collaborative mindset across tech and business teams.
• Strong problem solving and process-improvement skills.
• Experience with DBT, BigQuery or similar platforms.

Responsibilities

• Partner with business stakeholders to understand challenges and deliver data solutions with measurable value.
• Design, build and maintain scalable data pipelines using modern cloud technologies, Python and SQL.
• Develop reusable datasets, data models and features to support analytics and AI use cases.
• Apply analytical and ML techniques to uncover insights for better outcomes.
• Experiment with emerging AI capabilities and translate ideas into practical solutions.
• Communicate findings clearly to technical and non-technical audiences.
• Contribute across the full product lifecycle from discovery to deployment and improvement.

Skills

Python

SQL

Cloud platforms

DBT

BigQuery

Data pipelines

Data modelling

Stakeholder mgmt

Tools

Python

Job description

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.

Join a team that turns data into real business outcomes and helps shape how AI and analytics create value across IAG. In this role, you’ll work closely with stakeholders to solve meaningful problems, build scalable data products and bring data driven ideas to life. From exploring new opportunities with AI to creating trusted data solutions that support better decisions, you’ll be part of a collaborative team that blends technical expertise with business impact. This is an opportunity to grow your capability across data engineering, analytics and emerging technologies while contributing to work that makes a difference for customers and communities.

This is a permanent full-time role based in Gadigal Country (Darling Park 2, Sydney) or Naarm (Melbourne).

What You'll Do

• Partner with business stakeholders to understand challenges, identify opportunities and deliver data solutions that create measurable value.
• Design, build and maintain scalable data pipelines using modern cloud technologies, Python and SQL.
• Develop reusable datasets, data models and features that support analytics, reporting and AI driven use cases.
• Apply analytical and machine learning techniques to uncover insights and support better business outcomes.
• Experiment with emerging AI capabilities and help translate promising ideas into practical solutions.
• Communicate findings and recommendations clearly to both technical and non technical audiences.
• Contribute across the full product lifecycle from discovery and experimentation through to deployment and continuous improvement.

What You'll Bring

• Experience building and maintaining data pipelines using Python, SQL and cloud platforms.
• Curiosity about AI, machine learning and applying technology to solve business problems.
• Ability to translate technical concepts into practical outcomes for stakeholders.
• Experience working with data models, data quality practices and large datasets.
• A collaborative mindset and confidence working across technical and business teams.
• Strong problem solving skills with an interest in improving processes and customer outcomes.
• Experience with tools such as DBT, BigQuery or similar modern data platforms is valued.

What We Offer

• Boosted superannuation with 13% as standard.
• 20 days annual leave + 5 days MyLeave (extra leave for what’s important to you).
• Up to 50% off personal insurance, including home and motor insurance.
• Partner discounts on private health insurance, tech & appliances, and many more.
• Industry-leading 20 weeks paid parental leave.
• Access to LinkedIn Learning, the award-winning IAG Academy, study assistance and secondment opportunities.
• employment type eligibility criteria apply

Applications close: Wednesday 18 November 2026 11:59PM AEST

Please note – full time, part time, and job-sharing arrangements will be considered.

Adjustments and Support

If you require any support or adjustments to participate equitably in our recruitment process, we encourage you to reach out to [e-mail] 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.