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Build and deploy production ML & Data systems at scale - Work with cutting-edge ML technologies (LLMs, GenAI, Agentic AI) on real-world problems impacting millions of customers across Australia and New Zealand. Shape the future of retail with AI - Pioneer innovative ML solutions that transform how 24 million customers shop, from personalised recommendations to intelligent supply chain optimisation. Grow your craft - Collaborate with world-class Data Scientists and Engineers in an agile environment that values experimentation, knowledge sharing, and continuous learning. This is a unique opportunity for a technical leader with exposure to people management to help shape the future of data and AI at the core of WiQ. As a Lead Engineer, you will lead a talented team of 3-5 engineers, guiding their careers while remaining a deeply hands-on technical expert responsible for building our next generation of data and machine learning platforms. You will architect and build the foundational data platforms and the intelligent ML systems that run on them. This role is for a 'technical gun' with a deep command of software fundamentals who can design for scale, lead a team, and own the end-to-end delivery of complex data and ML solutions. If you are driven to build remarkable, high-performance systems and empower a team to do the same, this is the role for you.
Job Responsibility:
Build and deploy production ML & Data systems at scale
Shape the future of retail with AI
Grow your craft
Team & Technical Leadership: Lead, manage, and mentor a team of 3-5 Data and Machine Learning engineers
Hands-On Development: Remain deeply hands-on, applying rock-solid software fundamentals to build robust data and ML pipelines, scalable APIs, and efficient data models
End-to-End Platform Ownership: Oversee the delivery of critical data and ML projects, ensuring timely completion while upholding high standards of quality, reliability, and performance
Drive Engineering & MLOps Excellence: Champion and implement best practices for both Data and ML engineering
Strategic Contribution: Collaborate closely with Delivery Managers, Data Scientists, and senior leadership to translate business requirements into technical solutions
Requirements:
Bachelor's degree or above in Computer Science, Engineering, or a related field (or equivalent practical experience)
8+ years of commercial software development experience
5+ years of hands-on experience with Python, SQL, and Linux
Experience building data pipelines using cloud technologies such as Vertex AI Pipelines, Apache Airflow, DBT or similar orchestration tools
Practical experience with MLOps/DevOps practices, including model deployment, monitoring, and automation
Experience with containerisation technologies like Docker and Kubernetes
Knowledge of microservices-oriented architecture and REST APIs
Experience in CI/CD pipeline setup (shell scripting, Unit/Integration Testing)
Proven communication and stakeholder management skills
Hands-on experience with Google Cloud (GCP) or other major cloud providers (AWS, Azure) is beneficial
Demonstrated experience with modern ML algorithms (e.g., GNN, LLM, GenAI, Agentic AI) or a strong passion to learn new skills is advantageous
Nice to have:
Hands-on experience with Google Cloud (GCP) or other major cloud providers (AWS, Azure)
Demonstrated experience with modern ML algorithms (e.g., GNN, LLM, GenAI, Agentic AI) or a strong passion to learn new skills
What we offer:
Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work
A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network
High impact role supporting our teams who enrich our communities
A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app
A progressive and competitive leave policy that gives you more space for what matters to you