Sydney office locations with WFH flexibility

Work on a range of high impact data projects

Machine Learning Engineer- Wiq

Sydney office locations with WFH flexibility

Work on a range of high impact data projects

Fixed Term 12 month Contract

We are Woolworths Group

Woolworths Group is an Australian food and everyday needs retailer employing 1900,000 team members across Asia Pacific, serving over 20 million customers across our brands every week. With more than 1,400 stores across Woolworths Supermarkets, Countdown Supermarkets (Current Zealand) and BIG W brands, B2B business serving wholesale and export markets, and a range of fast-growing eCommerce businesses, Woolworths Group is Australia and New Zealand’s largest retailer.

We strive to create better experiences together for a better tomorrow for our customers and team, bringing the best of Woolworths Group and Quantium together to make data driven decisions. By partnering with Quantium, a world-class data science and advanced analytics business we’re excited about the future as we unlock the power of data to reimagine retail.

Through this partnership, we’ve created a current business called Wiq to harness the best of Woolworths Group and Quantium to reimagine retail by solving the most complex problems using data and analytics. As a team, we leverage Agile ways of working to help our team develop their skills while also making sure our team is focusing on solving the most complex problems for both our customers and team.

What you will do:

Joining the cross-functional Partners Reporting Framework (PRF) project and the wiq Loyalty Partnerships team,



you will transform the end to end reporting and analytics landscape across 16+ external Everyday Rewards partnerships. In this role, you will build robust data foundations and lead development of AI-based analytics products for various stakeholders, directly elevating partner service levels and accelerating time-to-insight for our partners, strategic decision makers, business intelligence developers and insights analysts.

As a Machine Learning Engineer within the Wiq Loyalty Partnerships team, you will:

- Architect Scalable Data Pipelines:Design, build, and optimize high-throughput data and ML pipelines using GCP (BigQuery, Cloud Composer) to power reporting, advanced analytics, and AI initiatives.
- Modernise Legacy Data Foundations:Refactor, migrate, and scale legacy pipelines onto modern cloud infrastructure while enforcing engineering standards and performance best practices.
- Deliver Production-Ready Data Products:Develop custom data models, robust API endpoints, and granular foundational datasets tailored for large-scale analytics and machine learning applications.
- Drive Retail Innovation:Harness massive datasets and adopt a rapid test-and-learn approach to prototype and deploy cutting-edge retail tools.




- Cross-Functional Collaboration:Partner closely with data scientists, ML engineers, and business stakeholders in an agile environment to refine requirements and align on solution designs.
- Champion Engineering Excellence:Pioneer new technologies, methodologies, and automated testing frameworks to improve system reliability, time to market, and application performance.
- Stakeholder Alignment & Delivery:Listen and collaborate with stakeholders to understand business challenges and problem solve by translating into practical solutions, present architecture designs and showcase working solutions
- Ensure Operational Stability:Lead post-deployment hypercare, maintain high system availability, and execute seamless handovers and knowledge transfers to support team

What you will bring:

A natural problem solving mindset with the ability to take sometimes nebulous and abstract challenges, break it down into components and develop solution hypotheses. As our ML Engineer you will be experienced in building ML pipelines such as VertexAI pipelines or ML techniques and packages.

- 3+ Years Core Software Engineering:Proven commercial background building production-grade software using Python, SQL, and Linux.
- High-Throughput System Design:3+ years architecting reliable, scalable distributed systems for both batch and real-time streaming architectures.
- API Development & Integration:Practical expertise designing, building, and deploying robust RESTful and gRPC API endpoints.
- Real-Time NoSQL Expertise:Hands-on experience modeling and managing data in high-performance NoSQL engines

📌 Machine Learning Engineer (Sydney)
🏢 wiq
📍 Sydney