Data Engineer – AI
Build the Data. Power the Intelligence. Shape the Future of Retail.
Not Your Average Data Engineering Role
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.
The Opportunity
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
.
Your Mission
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
Build What's Next in AI
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 Our Kind of Legend If...
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
Solid 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.
Bonus Points
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
Why Join 4WD Supacentre?
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
#J-*****-Ljbffr

📌 Data Engineer – Ai (New South Wales)
🏢 4wd Supacentre
📍 New South Wales