We're looking for an experienced Data Engineer to join a growing data team and help build a contemporary, scalable data environment from the ground up.Working closely with the Head of Data and Senior Data Engineer, you'll be responsible for the hands-on development, testing and maintenance of secure and scalable solutions using Azure Databricks.The environment spans multiple businesses, ERP platforms and operational systems, providing plenty of technical complexity and variety.Key responsibilities:Building, testing and maintaining ETL and ELT pipelines in Azure DatabricksIntegrating data from ERP platforms, SQL databases and other operational systemsSupporting source-to-target mappings, transformation logic and business rulesDeveloping curated data models and datasets for reporting, dashboards and analyticsImplementing data security and access controls including RLS, security groups and access policiesSupporting data governance, quality, privacy and documentation standardsAutomating manual data aggregation and reporting processes, including Excel-dependent financial and month-end activitiesWorking with business and technology stakeholders to turn agreed requirements into reliable technical solutions.We're looking for an experienced Data Engineer to join a growing data team and help build a modern, scalable data environment from the ground up.Working closely with the Head of Data and Senior Data Engineer, you'll be responsible for the hands-on development, testing and maintenance of secure and scalable solutions using Azure Databricks.The environment spans multiple businesses, ERP platforms and operational systems,



providing plenty of technical complexity and variety.Key responsibilities:Building, testing and maintaining ETL and ELT pipelines in Azure DatabricksIntegrating data from ERP platforms, SQL databases and other operational systemsSupporting source-to-target mappings, transformation logic and business rulesDeveloping curated data models and datasets for reporting, dashboards and analyticsBuilding efficient backend datasets for Power BIImplementing data security and access controls including RLS, security groups and access policiesSupporting data governance, quality, privacy and documentation standardsAutomating manual data aggregation and reporting processes, including Excel-dependent financial and month-end activitiesWorking with business and technology stakeholders to turn agreed requirements into reliable technical solutions.Key requirements:Hands-on Azure Databricks experience in a production environmentExperience developing and maintaining Databricks pipelines, data models and curated datasetsStrong ETL/ELT and data integration experienceExperience integrating ERP systems, SQL databases and operational platformsKnowledge of data modelling, data warehousing, dimensional modelling and star schemasStrong SQL capabilityExperience developing semantic-ready datasets for Power BI or similar BI toolsThe ability to work independently while following established technical directionStrong attention to data quality, documentation and deliveryExperience in multi-business, multi-entity or multi-region environments would be advantageous.
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📌 Data Engineer (Melbourne)
🏢 Slade Group
📍 Melbourne