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Senior Data Engineer /
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for enterprises, using Python/Java/Scala, Spark, Airflow, and cloud platforms like AWS/Azure.
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
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
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.
Senior Data Engineer
Design and build data pipelines and cloud-based architectures to power analytics and reporting for Australia’s largest independent media company.
Data Engineer
Build and maintain data pipelines that move user event data from Adobe into Google Cloud, ensuring reliable reporting and governance for a large Australian retailer.
Senior Data Engineer
Senior Data Engineer builds and maintains enterprise-scale data pipelines, warehouses, and lakes for a government digital transformation program, using SQL, Python, and cloud/on-prem platforms.
Senior Data Engineer
Senior Data Engineer builds and maintains enterprise data platforms, ETL pipelines, and data warehouses for a large public-sector data transformation program using SQL, Python, and cloud/on-prem systems.
Data Engineer
Build and maintain scalable data pipelines and cloud-based data platforms using Microsoft technologies to support analytics and AI initiatives.
Data Engineer
Build and maintain scalable data pipelines and warehouses for a financial org using SSIS, WhereScape, and Microsoft BI stack.
Data Engineer
Build and maintain data pipelines and models in Snowflake, integrating dealer systems, ecommerce, and marketing platforms to create analytics-ready datasets and support AI initiatives.
Data Engineer
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.
Healthcare Data Engineering & AI Platform Lead
Leads the build and operation of a cloud-native data and AI platform for a national healthcare provider, integrating real-time analytics, generative AI, and IoT to improve patient care and operations.
Data Engineer
Build and maintain data pipelines, lakehouse/warehouse structures, and semantic models on Microsoft Fabric to ingest and transform data from ERP systems, APIs, and IoT platforms for reporting and analytics.
Data Engineer
Build and maintain ETL/ELT pipelines that feed Shopify, ERP, CRM and logistics data into a BI environment, ensuring reliable reporting and analytics for an ecommerce business.
Data Engineer
Designs and maintains data pipelines and integrations to feed analytics and AI at a residential construction firm, using Microsoft SQL Server and vendor APIs.
Senior Data Engineer
Design and build scalable data pipelines and solutions using Python, SQL, Spark, and cloud platforms to power Westpac’s enterprise-wide transformation and AI-driven innovation.