Data & AI Engineer (12mth FTC)

Summary

12-month fixed-term Data & AI Engineer blending data engineering, analytics engineering and applied AI on GCP. Day-to-day work involves building BigQuery/SQL data models with Dataform, developing Looker semantic layers, and delivering AI solutions using Vertex AI, Gemini, RAG and BigQuery ML for Finance stakeholders.

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 modern 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
  • Strong 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 [email protected]

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