Lead Data Engineer - Support Services Global Support Centre

Do you speak fashion? We're hiring, let’s chat!
 

Born in Australia, loved around the world. 

At Cotton On, we know good style goes well beyond what's in your wardrobe. We’re here to inspire, spark joy and bolster self-expression and creativity. We want our community to feel seen, heard and celebrated, and as a brand, we want to use our voice to make a positive difference in people's lives.

We’re playfully rebellious and always optimistic. Join our world and let's do good things together.
 

Our IT team is growing and we're looking for a Lead Data Engineer to join the team. Reporting to the Head of Data & Analytics Technology, you'll be our technical lead across data engineering initiatives, helping shape how data is designed, built and delivered across the Group. You'll bring a hands-on approach, combining deep technical expertise with strong leadership and stakeholder partnership.

You'll work across a modern data ecosystem including Databricks, Microsoft Fabric and Power BI, driving best practice, mentoring engineers and ensuring our data platforms are scalable, reliable and built for the future. From enabling business insights to supporting emerging AI capabilities, your work will have a direct impact on how we make decisions across our global business.

Some of the things you'll be doing include: 

• Leading the design and delivery of enterprise-scale data solutions and data products 
• Driving engineering standards, best practices and technical governance across the data platform 
• Building and optimising scalable, secure and reliable data pipelines 
• Partnering with stakeholders across Technology and the broader business to deliver fit-for-purpose solutions 
• Championing continuous improvement, innovation and operational excellence 
• Supporting the evolution of our data platforms to enable future AI and advanced analytics initiatives 
• Driving performance, scalability and cost optimisation across our data environment  

• Significant experience in Data Engineering within a complex enterprise environment 
• Proven experience designing and delivering large-scale cloud-based data solutions 
• Advanced SQL and Python skills 
• Strong experience with Databricks, Microsoft Fabric, Power BI and Microsoft data technologies 
• Experience with CI/CD practices, source control and modern engineering methodologies 
• Strong knowledge of data modelling, governance and data quality frameworks 
• Exceptional stakeholder engagement and communication skills 
• A collaborative mindset with the ability to influence and lead technical direction 
• Experience within retail, ecommerce or omnichannel environments will be highly regarded