We're one of Australia’s most trusted brands and proudly member-owned, with our people and community at the heart of everything we do. From our legendary Roadside assistance to electric vehicle charging networks, the NRMA Group also owns and operates NRMA Parks and Resorts, SIXT car rental, My Fast Ferry & Fantasea Cruises. That’s why a career with us means creating the future you want, while helping the NRMA Group to keep moving Australia forward. Together, we can make a difference. 

We’re looking for a passionate and technically strong Data Engineer to join our Technology Data Team at the NRMA. You’ll help design, build and optimise our Google Cloud-based data platform, supporting analytics, data science, and business reporting across the organisation. 

This is a full‑time, 12‑month contract opportunity with a hybrid working arrangement, combining time across our Sydney CBD and Sydney Olympic Park offices with flexibility to work from home. 

What You’ll Do

In this role, you’ll support the delivery of enterprise data initiatives, with an initial focus on People & Culture and HR data, while building scalable, secure data products as part of our broader data mesh architecture. Your key responsibilities will include, but are not limited to: 

• Build and maintain GCP data ingestion pipelines and data marts using a Data Mesh architecture 
• Develop analytics‑ready datasets for analysts and data scientists 
• Design and manage automated data pipelines with orchestration, monitoring and fault tolerance 
• Deliver batch and streaming data transformations 
• Design target‑state data models, schemas and catalogs for APIs and analytics consumption 
• Build and maintain data integrations across platforms 
• Support AI and machine learning initiatives by enabling and integrating existing algorithms 
• Implement and manage IAM and data‑level security controls (row, column and dataset) 
• Build and maintain CI/CD pipelines for automated deployment and testing 
• Produce high‑quality technical documentation and support data analytics and reporting using a range of tools 

What You'll Bring 

• Degree in Computer Science, Software Engineering, Data Engineering or similar 
• Strong SQL skills, with BigQuery experience essential 
• Hands-on experience with Google Cloud Platform and modern data engineering practices 
• Proficiency in Python, with a focus on clean, well-documented code 
• Solid understanding of data structures, algorithms and data warehousing concepts 
• Experience with reporting or BI tools such as Tableau, Looker or Power BI 
• Strong communication skills and the ability to collaborate across technical and non-technical teams 

What's in it for you? 

At the NRMA we aren’t just about discounts (although you do get these too). We offer benefits to help make work and life just right for you!

• Progressive flexibility and well-being benefits to balance all of life's priorities  
• Complimentary myNRMA Rewards membership including discounts on groceries, movie tickets, gift cards, gym memberships, attractions, restaurants and much more  
• Employee referral program where you may be eligible for a referral bonus of up to $2,000  
• Potential to grow, progress or relocate your career and move around the NRMA Group or different locations with us.

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 part of our team.

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!

As part of our recruitment process, successful applicants will be required to complete pre-employment checks. 

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.