Data Engineer – AI

At 4WD Supacentre, home of Adventure Kings, we’re one of Australia’s fastest-growing 4WD, camping and outdoor retailers.

Behind our stores, ecommerce operations and national distribution network sits an enormous amount of data — and we’re ready to do more with it.

We’re building the next generation of our Google Cloud-based AI and data capability, and we’re looking for an experienced Data Engineer – AI to help make it happen.

This is a hands-on role for someone who can take a commercial problem from idea → data → AI/ML solution → production → continuous improvement.

You won’t just build pipelines. You’ll help create AI-driven solutions that influence how we forecast demand, allocate stock, understand customers, optimise promotions and make better commercial decisions across the business.

Location: Sydney Olympic Park, NSW Employment: Permanent, Full-Time Working Arrangement: On-site, 5 days per week Parking: Provided

Working across Technology, Data, Ecommerce, Marketing, Merchandise, Supply Chain and Operations, you’ll design and deliver production-grade data and AI solutions using Google Cloud.

Your initial focus will include:

• Demand forecasting
• Inventory and stock allocation
• Promotion forecasting
• New-product forecasting
• Marketing attribution
• Bundle optimisation
• Store clustering
• Inventory risk
• Customer and ecommerce behaviour

You'll also contribute to our growing Generative AI and Agentic AI capability.

As our Data Engineer – AI, you’ll be responsible for:

• Designing and building scalable Google Cloud data pipelines
• Developing robust data models and analytical datasets in BigQuery
• Building feature engineering pipelines across retail, ecommerce, marketing and inventory data
• Developing, training, tuning, evaluating and deploying ML models using Vertex AI
• Building forecasting, predictive analytics, clustering and recommendation solutions
• Integrating AI/ML solutions with enterprise, ecommerce, inventory and operational systems
• Developing APIs and event-driven integrations for AI predictions and recommendations
• Implementing data-quality controls, automated testing and model validation
• Establishing Google Cloud Logging, Monitoring and Observability
• Monitoring model performance, data/model drift, latency, errors and AI costs
• Conducting A/B testing, backtesting and production validation
• Supporting and continuously improving production AI systems
• Implementing appropriate retry, fallback, rollback and human-escalation mechanisms
• Creating clear technical documentation, architectures and operational runbooks
• Translating complex commercial problems into practical, scalable AI solutions

We’re particularly interested in candidates with practical exposure to modern Generative and Agentic AI technologies, including:

• Generative AI and LLMs
• Autonomous and multi-agent systems
• Agent orchestration
• Human-in-the-loop workflows
• Agentic RAG, Self-RAG and GraphRAG
• LangChain and LangGraph
• CrewAI and/or AutoGen
• Model Context Protocol (MCP)
• Embeddings and vector databases
• Semantic and hybrid search
• Structured outputs and function/tool calling
• AI evaluation and agent observability
• AI security and governance

We’re looking for real implementation experience — whether through production systems, working prototypes or meaningful projects — rather than theoretical knowledge alone.

You’re technically sharp but commercially minded.

You don't just ask “What was I asked to build?” — you ask “What problem are we actually trying to solve?”

You'll bring:

• 5+ years' experience across data engineering, AI/ML engineering, software engineering or a related discipline
• 3+ years delivering production data, analytics or AI/ML solutions
• Strong hands-on experience with Google Cloud Platform
• Advanced BigQuery, SQL and Python skills
• Hands-on experience with Vertex AI
• Strong ETL/ELT and cloud data-pipeline experience
• Experience with data modelling and feature engineering
• Experience training, evaluating and deploying ML models
• Strong knowledge of forecasting/time-series modelling and predictive analytics
• Experience with recommendation systems, clustering and/or optimisation
• Experience integrating AI/ML solutions with enterprise applications
• Strong REST API and event-driven integration knowledge
• Experience with Google Cloud Logging, Monitoring and Observability
• Experience with automated testing, data validation and experimentation
• Experience supporting and monitoring production AI systems
• Understanding of IAM, data security and cloud governance
• Strong architecture and technical documentation skills
• Agile, Scrum or hybrid delivery experience
• A relevant bachelor's degree in Computer Science, Data Engineering, IT, Engineering, Mathematics, Statistics or a related discipline

Most importantly, you’ll bring ownership, curiosity and a bias towards action. When something is difficult, you'll investigate, prototype, test and find a practical way forward.

We'd love to hear about any experience you have with:

• Australian retail or ecommerce
• Demand forecasting and inventory optimisation
• Supply-chain analytics
• Marketing attribution
• Ecommerce behavioural analytics
• SAP, Salesforce, Shopify or Magento
• POS and warehouse/distribution systems
• Google Kubernetes Engine (GKE)
• Cloud Run
• Dataflow
• Pub/Sub
• Dataplex
• Vector databases and knowledge graphs
• LangGraph and agent orchestration
• MCP server/tool development
• MLOps and AI evaluation frameworks
• Google Cloud certifications
• Technology vendor management

• Competitive remuneration package
• Build and take ownership of a significant Google Cloud AI capability
• Work on real commercial AI problems — not just experimental demos
• Influence decisions across stores, ecommerce, marketing, inventory and supply chain
• Work with modern Generative AI and Agentic AI technologies
• Join a technology team investing in the next generation of data and AI
• Exclusive Adventure Kings employee discounts
• On-site role at Sydney Olympic Park
• Parking provided
• Join a rapidly growing Australian business where your work can have a measurable commercial impact

If you’re an experienced Data Engineer or AI Engineer who wants to build production AI solutions, solve real commercial problems and help shape the future of data-driven retail at 4WD Supacentre, we want to hear from you.

Apply now and help build the intelligence behind our next stage of growth.