Machine Learning Engineer

Wiq; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Team discounts

Rewards program

Wellbeing programs

Sonder app access

Job summary

Wiq in Sydney is seeking a Machine Learning Engineer to join the Loyalty Partnerships team. You will transform end-to-end reporting and analytics across 16+ external Everyday Rewards partnerships and build AI-based analytics products.

You will design scalable data pipelines on GCP, modernise legacy data foundations, deliver production-ready data products, and work with data scientists in an agile environment.

Qualifications

• 3+ years of commercial software engineering experience building production-grade software using Python, SQL and Linux.
• Experience designing and deploying scalable data pipelines and APIs for analytics.
• Familiarity with cloud-based data platforms and NoSQL data stores.

Responsibilities

• Architect scalable data pipelines on GCP (BigQuery, Cloud Composer) for reporting and AI initiatives.
• Modernise legacy data foundations and migrate to modern cloud infrastructure.
• Deliver production-ready data models, APIs, and foundational datasets for large-scale analytics and ML.
• Collaborate with data scientists, ML engineers and business stakeholders in an agile environment.
• Champion engineering excellence, automated testing, and maintainable codebases.
• Ensure operational stability with post-deployment support and knowledge transfer.

Skills

Python

SQL

Linux

API design

GCP

NoSQL

Tools

BigQuery

Cloud Composer

Kubernetes

Docker

Job description

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 (New 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 new 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 (e.g., Firestore, Bigtable, DynamoDB).
• Modern CI/CD & DevOps:Proficient in automating end-to-end testing and deployment pipelines using GitHub Actions, Cloud Build, or Jenkins.
• Strategic & Operational Agility:Skilled at balancing high-level strategic planning with pragmatic, day-to-day operational execution and sharp commercial acumen.
• Stakeholder & Priority Management:Adept at managing competing business demands, prioritizing complex workflows, and delivering clear communication across diverse audiences.
• Empathetic & Collaborative Leadership:Dedicated to fostering cross-functional partnerships, mentoring team members, and maintaining strong professional standards.

Highly Desirable

Experience building or integrating real-time data pipelines using streaming technologies such as Google Pub/Sub, Kafka or Dataflow

Experience with Google Cloud preferred

Experience in ML Engineering / ML Ops / DevOps

Hands on experience in Kubernetes or Docker

What you’ll experience

• A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network.
• 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 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.

Everyone belongs at Woolworths Group

As one of the largest employers in Australia and New Zealand, we aim to create a truly inclusive workplace where everyone feels that they belong, can be their best selves, and reach their full potential.

Diversity, equity, inclusion, and belonging are key to realising our purpose of better together for a better tomorrow. We recognise the value our team’s diversity brings to our business, customers, and communities and that teams with diverse experiences and backgrounds enrich our group and are better able to innovate and solve problems.

Woolworths Group is an inclusive, team-first company and we value all skills and experiences.If you meet some, but not all of the requirements, we encourage you to submit your application.