Data Engineer

Role Overview

Join our Data, AI, Loyalty and Analytics team as a Data Engineer to build scalable data pipelines, analytical datasets, and models that support reporting, self-service analytics, advanced analytics, and emerging AI use cases.

What You Will Do

Build and maintain reliable data pipelines and curated datasets for reporting, analytics, and AI initiatives, design dimensional, semantic, and other analytical models, and develop reusable transformation logic using Python, SQL, dbt, and Apache Airflow.

Why It Might Be a Fit

You’ll have room to influence how we work, strengthen our engineering practices, and develop solutions that support both team members and customers.

Requirements

• Around five or more years of experience in data engineering or comparable practical experience
• Strong hands-on capability with Python, SQL, dbt, and Apache Airflow
• Experience building data pipelines and analytical solutions on cloud platforms such as Snowflake
• Knowledge of dimensional modelling, Data Vault, or other contemporary modelling approaches
• Experience developing semantic layers and business-friendly data structures
• Understanding of data governance, quality, lineage, and metadata principles
• Familiarity with source control, CI/CD, automated testing, and engineering practices
• Experience working in Agile, cross-functional product teams
• A relevant qualification or equivalent industry experience
• Exposure to Power BI, retail data, machine learning, or AI-enabled analytics would be useful but isn’t essential

Benefits

• Team discount at Bunnings and other Wesfarmers brands
• Free standard OnePass membership
• Access to over 100+ exclusive team member benefits
• 12 weeks paid parental leave, regardless of gender
• Fun stuff like annual festive gifts, discounted food and drinks at our Bunnings Cafe, and travelling store team member opportunities