Data & AI Engineer

Job Description

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

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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