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Position: Principal Data Engineer New
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
Senior Data Engineer: Scalable Pipelines & Cloud Platforms
Designs and maintains scalable data pipelines and ETL/ELT processes on Azure, ensuring data quality and performance for analytics and automation.
Data Engineering Lead - Azure, Fabric, SQL, PowerBI
Lead the design and delivery of Azure and Microsoft Fabric-based data platforms, building scalable pipelines and models to power analytics and reporting for a financial-services organization.
Senior Data Engineer - Snowflake & Cloud Data Platforms
Design and build enterprise-scale data platforms using Snowflake, AWS, and Python to power analytics, AI, and customer insights.
Salesforce Data Cloud Engineer
Build and maintain Salesforce Data Cloud and Databricks data pipelines, integrations, and customer data platforms to enable analytics, personalization, and real-time decisioning.
Senior Data Engineer — Snowflake & ELT/ETL, Hybrid
Designs and maintains scalable ELT/ETL pipelines, models data, and supports AI/ML initiatives for RACV’s enterprise data platform in Melbourne.
Senior Data Engineer: Real-Time Financial Data (Hybrid)
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.
AI Architect - Databricks
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Principal Data Engineer
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Senior Data Engineer (Engineer Database 4)- 27699
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Senior Data Engineer — Hybrid (50% WFH) for Enterprise Data
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.
Senior Azure Data Engineer - ETL/ELT & Databricks Expert
Designs and maintains scalable Azure data pipelines using Data Factory, Databricks, and Synapse to enable ETL/ELT workflows, data quality, and automation.
Senior Data Engineer - 12 month FTC
Senior Data Engineer builds and maintains ETL/ELT pipelines and MLOps workflows on a modern data/AI platform to create reusable, single-source datasets for AI/ML use cases in a large telco.
Principal Data Engineer & Tech Lead — Hybrid
Principal Data Engineer leads data architecture and team mentorship for REA Group’s Listings and Enrichment platform, driving scalable ETL/ELT, modeling, and governance while collaborating with data scientists and engineers.
Senior Data Engineer
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.
Senior Data Engineer: AI-Driven Lakehouse & Cloud Pipelines
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.
GCP Data Engineer (Google)
Build and scale GCP-based data pipelines and BigQuery models to process petabyte-scale data, enabling analytics and ML across enterprise systems using Dataflow, Pub/Sub, and Composer.
Hybrid Senior Data Engineer for Government Transformation
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.
Senior Data Engineer - Enterprise Data Platform (Hybrid)
Design and operate data warehouses and lakes, build scalable ETL/ELT pipelines, and mentor junior engineers for a large public-sector data transformation program in Sydney.
Amazon Data Engineer, Network Operations, Network Fabric Engineering (AWS)
Build and maintain AWS-based ETL pipelines, data models, and monitoring for Amazon’s global network operations, migrating legacy systems to cloud-native platforms.