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GCP BigData Engineer: Scale Pipelines & Data Security
Designs and scales GCP-based data pipelines while enforcing security and governance best practices for a Sydney-based software company.
Senior AWS Data Engineer | SageMaker & Real-Time Data
Designs and builds AWS-based data pipelines and platforms using SageMaker, enabling real-time and batch analytics and ML workflows for enterprise clients.
Senior Software Engineer – Data Management Platform
Senior engineer building and optimizing Roku’s data infrastructure to power streaming services and user experiences using Python/Java/Scala, Spark, Kafka, and cloud platforms.
Manager Data Analytics and AI
Lead a team to turn banking data into clear insights using SQL, Power BI/Tableau, and AI, delivering dashboards and analytics that guide Retail Bank decisions.
Senior Data Scientist, ML, NLP, GenAI, Agentic AI
Build and deploy GenAI, Agentic AI, and NLP models to enhance customer experiences in wealth management, focusing on SMSF and Wealth Crew services using Python, LLMs, and MLOps.
Data Engineering Lead — Cloud Platform Transformation
Lead a team to design and build scalable data pipelines and architectures while ensuring data governance and quality for a global tech company.
Data Engineering & Analytics Manager - AWS
Lead a team managing Snowflake data warehouse and AWS data lake pipelines, ensuring secure, scalable data flow and governance for the University of Melbourne.
Data Engineering Lead — Real-Time Pipelines & Governance
Lead a team to build and maintain real-time data pipelines and governance frameworks for an insurance company’s enterprise platforms using SQL and cloud technologies.
Senior Data Engineer (AWS & Snowflake)
Senior Data Engineer builds cloud-native pipelines on AWS and Snowflake to power financial crime monitoring and reporting at Australia’s largest bank.
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.
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.
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.
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.
Data Engineering and Analytics Manager
Lead a team to build and maintain cloud data platforms (AWS data lake, Snowflake warehouse) that power reporting and analytics for a large university.
Principal Consultant - Data Engineering
Lead Azure-based data engineering projects, designing scalable analytics and BI solutions for clients using Microsoft’s cloud stack.
Data Engineer - Microsoft Fabric
Senior Data Engineer builds and optimizes Microsoft Fabric and Azure data pipelines, Lakehouses, and semantic models to deliver trusted enterprise insights and Power BI reporting.
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.