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Follow →TRIA in London is seeking a Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the data platform. You will develop scalable data pipelines, enable advanced analytics, and drive data quality and governance across the organisation.
You will work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions.
The Senior Data Engineer will design and optimize enterprise data platforms using Azure Databricks, PySpark, Python, and SQL. The role focuses on building scalable data pipelines and cloud-based ecosystems while implementing CI/CD practices via Azure DevOps.
Design and build scalable Azure Databricks data pipelines and AI integrations for an insurance-focused enterprise, ensuring governance and security across enterprise systems.
Senior Data Engineer builds and maintains Azure Data Factory pipelines and data models to deliver analytics insights for Melbourne's tram network.
Designs and builds scalable data pipelines on Azure Databricks to ensure reliable, high-quality data for analytics, ML, and AI-driven solutions in a climate-tech manufacturing context.
Design and build scalable data pipelines and analytics solutions on Azure Databricks to power Tennis Australia’s data warehouse and reporting systems.
Designs and maintains Azure-based data pipelines and ETL processes on Databricks for a banking client, ensuring high-quality financial data integration.