Senior Data Engineer

• Join a quintessentially Australian brand
• Strong experience across Azure Databricks, dbt and Kimball dimensional modelling required

We are looking for a Senior Data Engineer to design and deliver our clients enterprise data platform using Azure Databricks, SQL, DBT and Azure Data Factory. You will lead data architecture, build scalable pipelines and models, and help establish the foundations for analytics, reporting and future AI initiatives across the business.

Key Skills & Responsibilities

• 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.
• Experience building scalable ETL/data pipelines and dimensional data models for analytics and reporting
• 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.
• Ability to translate business requirements into practical, high-performing data solutions.
• Strong stakeholder engagement skills and the ability to influence technical direction and best practice.

Thank you for taking the time to apply we truly appreciate your interest.