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:
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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:
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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:
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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:
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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:
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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.
4WD Supacentre is one of Australia's leading and fastest growing omni-channel retailers. We are a family-operated business that specialises in outdoor recreation and lifestyle products. Our people are passionate about the outdoors and the lifestyle that we can bring to our customers and the community.
