- Permanent opportunity
- Join a quintessentially Australian brand
- Strong experience across Azure Databricks, dbt and Kimball dimensional modelling required
This is an exciting opportunity to take ownership of a growing Data Engineering capability and play a key role in shaping how an organisation leverages data to deliver better decisions, deeper insights and future AI-driven initiatives.
Reporting to the Head of Data & Analytics, the Data Engineering Lead will be responsible for the design, delivery and ongoing evolution of the enterprise data platform. This is a hands-on technical leadership role, combining strong engineering capability with the opportunity to establish best practices, mentor engineers and influence the future direction of the organisation’s data landscape.
Key Skills & Responsibilities
- Lead Data Engineering activities across data ingestion, transformation, orchestration and data serving capabilities.
- Design, build and optimise scalable data pipelines using Azure Databricks, dbt and Azure Data Factory.
- Own and continuously improve the enterprise data platform using modern Azure data technologies.
- Apply Kimball dimensional modelling principles to deliver trusted and scalable data solutions.
- Develop and support modern data architectures including Lakehouse, Delta Lake and Medallion architecture patterns.
- Drive the adoption of modern incremental data processing frameworks and engineering practices.
- Establish and maintain engineering standards across coding practices, testing, CI/CD, documentation and operational support.
- Lead and mentor a small team of Data Engineering professionals, fostering a culture of collaboration and continuous improvement.
- Build trusted data assets that support business reporting, analytics and AI initiatives.
- Support production data platforms through monitoring, troubleshooting, performance optimisation and continuous improvement.
- Partner closely with BI, Analytics, Data Science and Technology teams to ensure data is structured for business consumption
- Improve data quality, governance and overall engineering maturity.
To submit your interest for this role, click on the Apply button quoting reference #5988.
As we receive a high volume of applications, we appreciate your understanding that we are unable to respond to individual enquiries. We kindly ask that you do not contact us directly regarding application status.
Thank you for taking the time to apply we truly appreciate your interest.
