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Lead the design and deployment of AI/ML models (RAG, computer vision) using Python, PySpark, and Azure AI, with MLOps for production and continuous improvement.
Designs and builds scalable Azure data pipelines using Synapse, PySpark, and Fabric to deliver government BI insights and data governance.
Senior Data Engineer builds and maintains RACV’s Snowflake-based enterprise data platform, designing scalable ELT/ETL pipelines and data models to turn raw data into trusted insights for business decisions.
Design and build scalable data pipelines and lakehouse architectures on Databricks using PySpark/Scala and Delta Lake, ensuring production readiness with CI/CD and monitoring.
Build and maintain a unified semantic data layer for finance, HR, procurement and compliance using Databricks, dbt, SQL and PySpark.
Build and optimize scalable data pipelines using Python (PySpark), SQL, Azure, and Databricks to deliver reliable data products for analytics and AI at a government road-safety agency.
Lead a team to design and deploy AI/ML models, including generative AI and computer vision, using Azure AI services and Python, while establishing MLOps pipelines for enterprise-scale solutions.
Senior Data Engineer builds and deploys Databricks-based Lakehouse data pipelines using Spark, Delta Lake, and dbt to productionize AI models and migrate enterprise data platforms.
Build and maintain Azure data pipelines and medallion architecture, profiling large datasets and diagnosing issues while collaborating with teams using Azure DevOps or Git.
Design and optimize scalable data pipelines using Python (PySpark), SQL, and Azure Databricks to enable AI-driven insights for the Transport Accident Commission.
Build and maintain scalable data platforms and AI pipelines using Databricks, Delta Lake, and PySpark on cloud platforms like Azure, AWS, or GCP.
Senior Data Engineer builds and optimizes Azure-based data pipelines for a NSW government department, reverse-engineering legacy systems and cleaning messy data using Medallion Architecture and Power BI.
Designs and builds scalable Azure and Databricks data pipelines using Python (PySpark) and SQL to support analytics and AI initiatives in a government transport agency.
Build and maintain secure data pipelines and curated datasets in Microsoft Fabric/Azure for analytics and reporting, using PySpark, SQL, dbt and medallion architecture.
Build and govern a unified semantic data layer for finance, HR, procurement and compliance using Databricks, dbt and PySpark to power self-service analytics and AI agents.
Build and maintain scalable Azure-based data pipelines and lakehouses to feed analytics and BI for NSW government projects, using PySpark, Synapse, Fabric, and Power BI.
Design and maintain scalable AWS data pipelines, ETL/ELT processes, and cloud data warehouses to support analytics and business decisions.
Builds and maintains Azure-based data pipelines using SQL, PySpark, and Azure Synapse to enable scalable, governed data workflows for analytics.
Senior Data Engineer builds and maintains scalable data pipelines and analytics solutions on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage to power Tennis Australia’s reporting and AI needs.
Lead a team to design and build scalable data pipelines and models for a digital bank, using Python, SQL, DBT, Spark, and cloud-native tools to drive real-time insights and business decisions.
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