Data Engineer: AI-Driven Data Pipelines & Insights

IAG; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

13% superannuation

20 days annual leave + 5 days MyLeave

Up to 50% off personal insurance

Partner discounts on health, tech &amp

20 weeks paid parental leave

LinkedIn Learning & IAG Academy

Job summary

IAG is seeking a data engineer to join our analytics and AI-focused team in Australia. You will design and maintain scalable data pipelines, develop reusable datasets and features, and apply ML techniques to deliver measurable business outcomes.

The role collaborates with stakeholders across business units to translate ideas into practical data solutions. You’ll work with modern cloud data platforms, contribute to a full product lifecycle, and explore emerging AI capabilities to drive value for

Qualifications

• Experience building data pipelines with Python and SQL.
• Familiarity with cloud data platforms.
• Interest in AI and machine learning applications.
• Ability to translate complex concepts for stakeholders.
• Experience with data models and data quality.

Responsibilities

• Design, build and maintain scalable data pipelines using Python, SQL and cloud platforms.
• Develop reusable datasets, data models and features that support analytics and AI driven use cases.
• Collaborate with stakeholders to understand challenges and deliver data solutions.
• Apply analytical and machine learning techniques to uncover insights and support better outcomes.
• Communicate findings clearly to both technical and non-technical audiences.
• Contribute across the full product lifecycle from discovery through deployment and continuous improvement.

Skills

Python

SQL

Cloud platforms

AI/ML curiosity

Stakeholder communication

Team collaboration

Data modeling

Tools

DBT

BigQuery

Job description

IAG is seeking a data engineer to join our analytics and AI-focused team in Australia. You will design and maintain scalable data pipelines, develop reusable datasets and features, and apply ML techniques to deliver measurable business outcomes.

The role collaborates with stakeholders across business units to translate ideas into practical data solutions. You’ll work with modern cloud data platforms, contribute to a full product lifecycle, and explore emerging AI capabilities to drive value for