Super Retail Group is the proud owner of four iconic brands: Supercheap Auto, rebel, BCF and Macpac, and is one of Australia and New Zealand's largest retailers. The talent of our teams and their passion for providing an experience which inspires and enhances our customers’ leisure time drives our culture of innovation and opportunity.
About the Role
Are you passionate about building the foundations that power exceptional digital customer experiences?
Join us as a Content Engineer, where you'll enable the consistent delivery of high-quality content across Super Retail Group’s brands and platforms through structured content, taxonomy, schema, and product data.
In this newly created position, you'll play a key role in ensuring our content is discoverable, reusable, AI-ready, and optimised for search, personalisation, and emerging customer experiences.
Your key responsibilities will include, but not be limited to:
- Designing and developing reusable tools, automation and workflows that support content standards, governance and quality assurance.
- Translating taxonomy and schema requirements into scalable data models and implementation rules.
- Building automated content ingestion, transformation and publishing processes to improve efficiency and consistency.
- Integrating and enriching content and product data across platforms, feeds and APIs.
- Developing dashboards and reporting to monitor data quality, compliance and content performance.
- Partnering with Content, Platform, Data and Brand teams to deliver aligned, scalable content solutions.
This role offers the flexibility to be based in Brisbane (Strathpine, preferred location) or Sydney (Rhodes), with a hybrid work model.
About You
We’re looking for a data engineering professional with demonstrated experience building and optimising data-driven solutions across content, ecommerce, or MarTech environments. You have strong expertise in designing and managing data pipelines, including ETL/ELT processes, APIs, feeds, and complex system integrations that enable reliable data flow across platforms.
You bring hands-on experience working with ecommerce ecosystems and content technologies such as PIM, CMS, or similar commerce and content management platforms. You are passionate about data quality and have a proven track record of designing and implementing data validation frameworks, leveraging both automated controls and human-in-the-loop quality assurance processes to ensure accuracy, consistency, and trust in data.
A natural problem solver, you thrive in fast-paced environments where you can combine technical expertise with a continuous improvement mindset to deliver scalable, high-quality data solutions.
In addition, you bring the following skills and experience:
- Working in Agile or product-led environments
- Data modelling and structured data design
- Pipeline and automation development
- API integration and platform connectivity
- Analytics and monitoring
WHY JOIN US?
- You’ll get to join for an organisation with a culture that is driven by innovation and creating awesome experiences for our customers and teams, and will get to work alongside a diverse team across Super Retail Group that is representative of the communities we work in.
- Super Retail Group is a Workplace Gender Equality Agency (WGEA) Employer of Choice for Gender Equality citation holder.
- We are committed to your professional development and will support on-going opportunities for both learning and progression.
- You will get access to generous discounts across all Super Retail Group brands, as well as access to our Perks Programme, including discounts on Health and Wellbeing, Entertainment, Travel and Accommodation and more.
Our Culture of Inclusion
Super Retail Group is proud to be an equal opportunity employer. We support, promote and celebrate diversity and we recognise the benefits a culture of inclusion brings to our workplace and customer experience.
How to apply
Interested candidates for this role should apply by following the links and sending your resume.
- Published on 21 Jul 2026, 5:43 AM