Data Modeller

About the job

Chemist Warehouse is one of Australia's largest retailers, growing continuously year on year. With over 600 stores in Australia, New Zealand, Ireland, China, and Dubai, and many more exciting locations to come, the secret to our success lies in our exceptional customer service paired with competitively priced quality products. We take great pride in being innovative and responsive to the changing needs and challenges of the current market

We’re looking to expand our team by adding a Senior Data Modeler will be pivotal in developing our cloud data platform. The ideal candidate will have extensive experience in data modeling, a deep understanding of retail industry data models, and expertise in operational data modeling and ETL logic for subject-oriented data marts. The candidate will also be responsible for data ingestion from numerous applications, ensuring the accuracy and consistency of data across our platforms.

Role responsibilities

As a Data Modeller, you’ll be:

• Designing and implementing robust, scalable, and efficient data models for operational data and subject-oriented data marts.
• Collaborate with business stakeholders to understand data requirements and translate them into effective data models.
• Create and maintain ETL processes to extract, transform, and load data from various sources into the data platform.
• Manage data ingestion processes from multiple applications, ensuring data consistency and reliability.
• Develop and maintain data integration frameworks to support real-time and batch data processing.
• Apply deep knowledge of retail industry data models, particularly in areas such as sales, inventory, loss prevention, supply chain, and warehouse management.
• Utilize industry best practices to design data models that support the unique needs of a pharmaceutical retail business.
• Maintain comprehensive documentation of data models, ETL processes, and data integration workflows.
• Implement data governance practices to ensure data quality, security, and compliance with industry standards.

About you

To succeed in this role, you’ll need:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Proven expertise in designing and implementing operational data models and subject-oriented data marts.
• Extensive experience with ETL development and data integration processes.
• In-depth knowledge of data models for sales, inventory, loss prevention, supply chain, and warehouse management.
• Strong understanding of cloud data platforms and related technologies.
• Excellent analytical and problem-solving skills.

What you should know

Aside from the usual things you should expect from any organization, we also offer our team the following:

• Discount across all our brands. Plus, access to the “gift shop” at our Head Office with exceptional discounts on end-of-line products.
• Discounted hot/cold food and drink at our Head Office on-site café.
• Free flu vaccinations.
• We have a hybrid working arrangement, so you'll need to be based in Melbourne. Our office is in Preston.