At Bunnings, you’ll make a positive difference to our business and beyond.
Bunnings is the leading retailer of home improvement and lifestyle products in Australia and New Zealand and a major supplier to project builders, commercial tradespeople and the housing industry. Operating from a network of stores, trade centres, frame and truss sites, and online, Bunnings caters for consumer and commercial customers.
By joining our passionate and diverse team, you will have the opportunity to grow, develop, have fun and make a positive difference – to our customers and the communities where we live and work.
About The Role
Working with a modern analytics stack including technologies: Microsoft Azure Cloud, Azure Kubernetes Service, Docker, Snowflake, Airflow, dbt and Databricks.
You will be working closely with the engineering and analytics teams to enable machine learning solutions.
You will be building and maintaining the analytics/machine learning environment, including solutions for productionising models, model stores, feature stores while making use of our agile practices and DevOps standards.
What's Involved
- Creating and managing distributed computing clusters that can run data-intensive applications and machine learning algorithms
- Collaborating with data scientists, machine learning engineers, and other stakeholders to understand their needs and requirements, and to provide infrastructure solutions that meet those needs
- Performing engineering and development of analytic data products and data/model pipelines in a cloud environment
- Support machine learning usecases to be productionised – including deployment, automation, orchestration, monitoring and logging
- Contributing to the evolution of analytics environments as well as data processing and integration
Who We’re Looking For
You will have a deep understanding of technical platforms for analytics, experience with cloud platforms and have a genuine passion for the data space.
You are an analytical thinker, a problem solver and a team player who leads by example and shares your knowledge with your peers.
You’ll Need
- A strong understanding of cloud computing platforms and Docker based solutions
- The ability to design and implement scalable data storage and processing systems
- Proficiency in programming languages preferably Python
- Understanding of the deployment aspects of the Data Science lifecycle
- Advanced SQL skills and experience with Data Warehousing techniques and technologies
- Collaborative mindset to work effectively with other engineering & architecture teams, data scientists and stakeholders in the organisation
You’ll be part of a workplace where you’ll feel like you belong.
There’s so much on offer when you’re part of the team. Our flexible and informal work environment helps bring balance between work and home. Then there’s the fun stuff like team discount at Bunnings and other Wesfarmers brands, incentives, discounts from corporate partners (such as private health insurance) and cost price food and drinks at the Bunnings café. We also offer 12 weeks paid parental leave, regardless of gender, and you will have the opportunity to create a real difference in your community and environment. Join us and experience Bunnings from the other side of the counter.
Please note that if your application progresses to the reference check stage, you may be required to submit a police check. If your search returns a criminal record, Bunnings will assess whether the record impacts your ability to perform the key requirements of the role. 
