Company Description
We’re one of Australia’s most trusted brands. Being member-owned, every decision we make has people and our community at its heart. From legendary roadside assistance to our electric vehicle charging network, holiday parks and resorts, car rentals, harbour transport and ocean cruising, we are striving to make a difference that contributes to a brighter shared future for all Australians.
Forget what you thought you knew about the NRMA. Look on the inside and you’ll discover that life with us is more than just a job – it’s your chance to make a difference, together.
Job Description

KNOW YOU BELONG

We’re for inclusion, diversity and representing the members, guests, customers and communities we serve. That’s why we welcome applications from First Nations, people with disability, those from diverse cultural backgrounds, people of all genders, members of the LGBTQI+ community, and anyone else who wants to be a part of our team.
As part of our recruitment process, successful applicants will be required to complete pre-employment checks.
Join the NRMA and grow your career with us. Apply now, we cannot wait to hear from you or visit our careers site to find out more!
Our Talent Acquisition Team and Hiring Leaders kindly request no unsolicited resumes or approaches from Recruitment Agencies. The NRMA is not responsible for any fees related to unsolicited resumes

In this exciting new career opportunity, you’ll play a pivotal, hands-on role in executing our data strategy. You’ll be responsible for building, optimising, and maintaining end-to-end data pipelines and data products on Google Cloud Platform, ensuring high-quality, reliable data is available for analysis and business consumption.

Your key responsibilities will include:

• Design, develop, test, and deploy robust and scalable ETL/ELT data pipelines
• Build and maintain data models within BigQuery, implementing Medallion Architecture layers
• Translate data requirements into actionable LookML models and develop Looker dashboards and reports
• Contribute to continuous improvement of the data platform by implementing automation scripts and CI/CD best practices for data pipeline deployments
• Implement data validation, monitoring, and quality checks within pipelines to ensure data integrity and reliability
• Work closely with the Principal Engineer, other data engineers, data analysts, and data scientists to deliver effective solutions and provide technical support