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Crucial contributor role with the Data and Ai Engineering team. You will be responsible for the hands-on design, build, and optimisation of BIG W's core data and AI platforms. A crucial individual contributor within the Data & AI Engineering team, ensuring that BIG W has scalable, reliable platforms and frameworks to power data, analytics, and AI across the business.
Job Responsibility:
Architect, build, and manage our core data ingestion, processing, and warehousing solutions on Google Cloud Platform (GCP)
Building and operating a robust MLOps framework on Vertex AI to automate the deployment, monitoring, and management of machine learning models
Ensure the reliability, scalability, and security of our data platforms, managing CI/CD, and implementing data governance standards
Designing, building, and deploying autonomous AI agents that can reason, plan, and execute complex tasks to automate and optimise core business processes
Mentor junior engineers and analysts and champion engineering best practices
Requirements:
5+ years of dedicated hands-on experience in data engineering or related software engineering roles
Direct exposure to building and operating MLOps platforms (preferably Vertex AI) and supporting production-grade machine learning systems
Deep technical proficiency in building and optimizing data/AI solutions on a major cloud platform (GCP highly desirable)
Strong experience with core cloud services
Expert coding skills in essential languages such as Python and SQL
Experience in designing and building Agentic AI systems or similar autonomous software agents
Strong understanding of data governance, data quality, and security frameworks
A passion for retail and creating great experiences for families
Nice to have:
Experience with application development (back-end or full-stack) is highly desirable but not essential
What we offer:
Team discounts across our range of Woolworths Group brands
Robust rewards program
12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months