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Senior Data Engineer- Data Bricks
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.
GIS Lead Data Engineer
Lead a team to design and build scalable GIS and analytics data pipelines using Databricks and Azure for a mining-sector consultancy.
Senior Data Engineer: Cloud Data Platform & Spark
Design and build cloud data pipelines and platforms using Azure, Databricks, and Spark; optimize workflows with Airflow and manage structured/unstructured data.
Senior Data Engineer
Build and maintain scalable data pipelines and analytics solutions on Azure Databricks for a global fashion retailer, enabling data-driven decisions and AI-powered insights.
Senior Data Engineer
Build and maintain scalable data pipelines and platforms using Python, SQL, and cloud tech to support government services and enterprise AI solutions.
Senior Data Engineer — AI Analytics on Azure Databricks
Senior Data Engineer builds and maintains Azure Databricks pipelines and AI-driven analytics for a fashion brand’s data-driven decision-making.
Salesforce Data Engineer
Designs and builds Salesforce Data Cloud solutions, ETL pipelines, and customer 360 profiles, integrating Salesforce with external systems using SQL, Python, and cloud platforms like Snowflake and AWS.
Lead Data Engineer
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.
Data Engineer
Build and optimize scalable data pipelines using Python (PySpark), SQL, Azure, and Databricks to support analytics and AI at Victoria’s transport safety agency.
Senior Data Engineer — AI, Databricks & AWS (Contract)
Design and optimize AI-enabled data pipelines on AWS and Databricks, building scalable lakehouse architectures and MCP server integrations for next-gen AI platforms.
Principal Data Engineer
Lead the architecture and delivery of Medibank’s next-gen cloud-native data platforms, Databricks lakehouse, and AI/ML enablement while mentoring engineering teams and setting enterprise standards.
Principal Data Engineer: Databricks & AI Platform Leader
Lead cloud-native data pipelines and Databricks platforms to build scalable lakehouse architectures, enabling AI/ML and enterprise-wide analytics for Medibank’s healthcare products.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud data pipelines (Databricks/AWS) to power analytics and ML for fintech brands serving Australians.
Senior Data Engineer
Senior Data Engineer builds, optimizes and maintains ETL pipelines and SQL analytics in a hybrid cloud warehouse, focusing on performance, month-end close and data support.
Data Engineer - Lead
Lead the design and build of large-scale data pipelines on Databricks, using PySpark and Delta Lake to deliver clean, governed data for analytics and ML.
Chief Data Engineer
Lead a team of data engineers to build and maintain AI-ready data platforms using Python, SQL, Snowflake, dbt, Airflow, and Databricks, while coaching engineers on data science principles.
Lead Data Engineer
Lead hands-on data engineering to build scalable pipelines and reusable datasets on a modern AI platform, enabling customer-centric AI/ML use cases and ensuring a single source of truth.
Data Engineering & Innovation Lead
Lead the design and implementation of a modern cloud-native data and AI platform for a large healthcare provider, integrating real-time IoT, generative AI, and self-service analytics to transform patient care and operational efficiency.
Senior Data Engineer
Designs and builds scalable Azure-based data pipelines and architectures using PySpark, Databricks, and Synapse to power analytics and real-time insights.
Data Engineer Lead
Lead the design and delivery of scalable data pipelines using Azure Databricks, dbt, and Kimball modeling to build a modern enterprise data platform that powers analytics and AI initiatives.