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Lead a 10–15 person team to design and implement cloud-native data engineering solutions for retail and digital platforms, setting technical standards and governance.
Senior Data Engineer builds and scales real-time data pipelines for trading research, optimizing processing and infrastructure costs to support data-driven decisions.
Designs, builds, and maintains scalable data pipelines and platforms using Databricks, Python/Scala, and SQL in multi-cloud environments.
Lead a team of 10–15 engineers to design secure, cloud-native API architectures and drive enterprise-wide data transformation for a retail and hospitality group.
Designs and maintains scalable ELT/ETL pipelines, models data, and supports AI/ML initiatives for RACV’s enterprise data platform in Melbourne.
Owns and scales TMGM’s real-time financial data pipelines using Kafka, RabbitMQ, Airflow and ClickHouse to deliver sub-second analytics in a regulated finance environment.
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Build and maintain enterprise-scale data warehouses, data lakes, and analytics platforms, designing ETL/ELT pipelines and integrating data across on-prem and cloud environments.
Designs and maintains scalable Azure data pipelines using Data Factory, Databricks, and Synapse to enable ETL/ELT workflows, data quality, and automation.
Lead a team of data engineers building and scaling Atlassian’s analytical data platforms that process billions of events monthly to power company-wide decision-making.
Lead a team of 10–15 engineers to design and scale cloud-native data platforms using Databricks, GCP, and PySpark, while setting engineering standards and security guardrails for enterprise-wide data transformation.
Designs and builds Spark/PySpark pipelines on Azure Lakehouses to ingest, transform, and store investment data for analytics and downstream systems.
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.
Senior Data Engineer building enterprise data warehouses, lakes, and ETL/ELT pipelines for a NSW government transformation program, enabling analytics and AI/ML across on-prem and cloud.
Design and build scalable Azure-based data pipelines and lakehouse architectures to power enterprise reporting, analytics, and AI initiatives using Azure Data Factory, Microsoft Fabric, and Power BI.
Design and build scalable data pipelines and analytics solutions on Azure Databricks to power Tennis Australia’s data warehouse and reporting systems.
Design and build data migration pipelines for core banking systems, translating legacy data into a new schema using Snowflake, dbt, Python, and SQL.
Senior Data Engineer builds and maintains Azure-based data pipelines and GenAI platforms using PySpark to support analytics, ML, and AI initiatives.
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