AI/ML Data Engineer- Senior/Lead

Woolworths Group is Australia and New Zealand's largest retailer, serving over 24 million customers across our brands every week with more than 1,400 stores across Woolworths Supermarkets, Woolworths New Zealand, and BIG W, alongside fast-growing eCommerce and B2B businesses.

Wiq brings together the best of Woolworths Group and Quantium, a world-class advanced analytics business, to reimagine retail by solving the most complex problems with data, AI, and analytics. We work in agile squads, focused on the hardest problems for our customers and team while building our people's skills along the way.

What you'll do

We are looking for A/ML Data Engineers who are hands-on technical specialist who will design, build, and ship the AI tools and products used across Woolworths Group. You will work end to end across backend, frontend, and cloud, using coding agents every day, supported by a cross-functional squad including data scientists, technical product leaders, applied AI engineers, and business SMEs working on our Google Cloud platform.

• Lead the design, development, and operationalisation of AI products and multi-agent workflows in GCP, from first prototype to production.

• Establish standards for evaluating AI systems, including eval datasets, data pipelines, data lineage, regression testing, observability, and reliable monitoring practices.

• Track developments across coding agents, agent frameworks, distributed compute, and frontier and open-source models to bring high-impact capabilities into the team.

• Spend most of your time shipping production-grade code with coding agents, focusing on quality, latency, tool integrations, and cloud cost control.

What you'll bring

You'll be a senior engineer who is already sharp with AI. You'll work with coding agents (such as Claude Code) every day and judge quickly when an agent is heading the wrong way. You'll take ambiguous problems through to shipped products, and you'll be curious, collaborative, and autonomous to own problems end to end. As a trusted partner to technical product managers and commercial stakeholders, you will translate business use cases into working AI products and clearly communicate technical trade-offs, risks, and security considerations to stakeholders at all levels.

• Strong senior engineering experience across backend, frontend, and cloud, in Python or TypeScript, rather than deep specialisation in one stack.

• Proven, hands-on experience building AI enabled solutions such as agents, RAG, or LLM integrations, ideally in production, and evaluating them with eval datasets, regression suites, or LLM as judge.

• Tertiary qualifications in computer science, software engineering, information technology, or similar, or equivalent practical experience.