Build real-world GenAI solutions using Vertex AI, Gemini RAG Modern GCP stack across BigQuery, Dataform, Looker Cloud Run End-to-end ownership across Data Engineering, Analytics AI Join a large, well-established Australian organisation investing heavily in modern Data AI capability.
This is an opportunity to work within a high-performing environment where data, analytics and AI are being used to solve genuine commercial problems.
This isn't a traditional Data Engineering role.
You'll work across Data Engineering, Analytics Engineering and applied AI, helping build the foundations that allow the business to move beyond reporting towards more intelligent, data-driven decision making.
You'll work end-to-end, partnering directly with stakeholders to understand problems before designing and delivering production-ready solutions.
Location : Sydney (3 days/week in office) Salary : $140k-145k base + Super + Bonus What You'll Do Build and maintain trusted, analytics-ready data models using BigQuery, SQL and Dataform Develop scalable data transformations and orchestrated workflows across GCP Build and contribute to semantic data models that enable genuine self-service analytics Work with Looker, developing explores, measures and dimensions Partner directly with Finance stakeholders to translate business problems into technical solutions Build applied AI solutions using Vertex AI, Gemini, RAG and BigQuery ML Work on use cases including automated commentary, variance analysis, Q A over data, scenario modelling and decision support Use Cloud Functions and Cloud Run for API-based and event-driven solutions Contribute to CI/CD, GitHub,



code reviews and engineering best practices Use contemporary AI-assisted development tools to accelerate engineering and solution delivery What You'll Bring Around 3–5 years' experience across Data Engineering, Analytics Engineering or a similar discipline Strong SQL skills and experience building clean, maintainable data models Commercial experience with GCP and BigQuery Experience with Dataform, dbt or another SQL-first transformation framework Exposure to Cloud Run, Cloud Functions or similar cloud-native architectures Experience with Looker or another semantic/BI layer Hands-on exposure to Generative AI, ideally Vertex AI, Gemini, RAG or BigQuery ML Experience taking Data or AI solutions beyond POCs and into real-world use cases Solid software engineering fundamentals including Git, CI/CD and code review Comfortable working directly with both technical and non-technical stakeholders Curious, accountable and keen to continue growing your technical ownership If you have any questions about this role or others we have available you can email Jack directly via ************************* For The Latest Jobs, Tech News or to 'Introduce A Friend' for a $**** Referral Fee - Follow Us On Linkedin: ******************************************************************** is 100% committed to improving meaningful diversity in the technology industry.
We partner with clients who embrace diversity and seek candidates across all backgrounds, abilities, genders, sexualities, cultures, and faiths.
If you have the right skills and attitude we would love to hear from you!
Reference number: ******* Profession:Data AnalyticsData Analytics Company: TheDriveGroup Date posted: 26th Aug, ****

📌 Data & Ai Engineer (12Mth Ftc) (New South Wales)
🏢 TheDriveGroup
📍 New South Wales