• Fantastic opportunity to be part of our next gen cloud data lake house transformation program
• full-time position with hybrid working from Mile End and home
• Join a high performing, engaged and supportive data engineering team
  RAA is seeking an experienced DBT Data Engineer to contribute to the ongoing development and optimisation of our enterprise data platforms. This role is ideal for someone who excels in implementing scalable data architectures, building efficient data pipelines, and delivering reliable data solutions that support business intelligence and analytics.

QUALIFICATIONS & EXPERIENCE

• Tertiary qualification in Computer Science, IT, or equivalent (preferred).
• Solid background in data integration, database design, CI/CD, DevOps and data analysis

ABOUT US

We’re proud to be one of South Australia’s most iconic brands, trusted by members for more than 120 years. SA born-and-bred, RAA might be best known for our road service and insurance products, but we’re excited to be continuously diversifying to better help our members and community.
Our goal? To make life better for South Australians. That’s why we’re proud to offer a range of services to our 820,000+ members, including travel, energy, solar and battery, electric vehicle charging, our RAA Rewards program and more. With motoring still a priority, we’re just as passionate as we were in 1903 about road safety, advocating for a safer SA into the future.
We’re also one of the state’s largest employers, with more than 1300 employees working across our local sites at Mile End, RAA Place (CBD) and Adelaide Airport and our many retail and travel shops. With new office spaces in the city and city fringe in the works, and a buzzing people-first culture, we’re proud to be the State’s #1 Employer Brand.

• Build the backbone: Transformational work to reengineer SQL Server enterprise data platform into next gen AWS Snowflake data platforms. Design and develop scalable pipeline solutions across data lake houses, marts, and stores using dbt Cloud and SSIS.
• Champion data integrity: Support enterprise data platforms, diagnose performance issues, resolve discrepancies, and ensure optimal data availability, security, and consistency.
• Enhance operational excellence: Implement self-healing pipelines, monitor performance, and optimise workflows while upholding strong data governance.
• Collaborate and lead: Work across agile squads to deliver business outcomes, communicate technical magic clearly, and build meaningful partnerships across teams.