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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.
Build and optimize scalable data pipelines using Python (PySpark), SQL, Azure, and Databricks to support analytics and AI at Victoria’s transport safety agency.
Builds and maintains enterprise data pipelines and complex SQL views in Azure to support data-driven decisions for a public-sector client.
Senior Data Engineer builds and optimizes cloud data pipelines (Databricks/AWS) to power analytics and ML for fintech brands serving Australians.
Senior Data Engineer builds and maintains enterprise-scale data pipelines in Python/PySpark, deploys ML models, and designs Azure-based data platforms for analytics and GenAI use cases.
Build and maintain secure data pipelines in Microsoft Fabric/Azure, curate trusted datasets for analytics, and implement governance and quality controls for an enterprise data platform.
Builds and maintains Azure-based data pipelines, profiles undocumented datasets, and documents data quality issues for stakeholders using SQL, PySpark, and Power BI.
Senior Data Engineer designs and builds scalable data pipelines, ETL workflows, and data lakehouse solutions using PySpark, Databricks, and Azure/AWS tools to deliver business insights for Toyota’s mobility operations.
Builds scalable AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and leveraging AI tools to automate and optimize engineering workflows.
Builds scalable data pipelines and AI-enabled integrations on AWS and Databricks, leveraging MCP servers and modern data engineering practices.
Senior Data Engineer building scalable cloud data pipelines and platforms to support AI, analytics, and enterprise decision-making using Python, PySpark, and Azure technologies.
Build and maintain Azure-based data pipelines, profile undocumented datasets, and deliver clean, documented data for reporting and analytics using PySpark, SQL, and Power BI.
Design and build enterprise-scale AWS data platforms and Lakehouse solutions using Spark, Python, and Apache Iceberg, leading architecture through implementation and optimization.
Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. The company enables pharmaceutical, medical device, and diagnostics organizations to transform product…
Builds and maintains TIBCO Spotfire dashboards for clinical trial data, integrating with Databricks and other sources to support patient monitoring and reporting in a regulated healthcare environment.
Data Engineering II RealTime CDP Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role…
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