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Architect, Data and AI Engineering
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
AWS Data Engineer – Cloud Migration & Analytics
Build and migrate AWS data pipelines for cloud transformation, using DMS, Glue, Redshift, and Spark to move data from legacy systems and enable analytics.
Security-Cleared Senior Data Engineer (AP6)
Build and optimize secure data pipelines for a government agency, using SQL, Python/Java, and platforms like Snowflake or Databricks.
Senior Data Engineer
Designs and builds scalable data pipelines and platforms using Databricks, Python/Scala/SQL, and multi-cloud infrastructure to support analytics and reporting for enterprise clients.
Data Engineer
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Staff Data Engineer (Data Platform & Modernisation)
Lead the design and modernization of a cloud-native data platform for a major bank, migrating legacy SQL Server systems to AWS-native services like Aurora PostgreSQL and Redshift while building scalable pipelines and ensuring regulatory compliance.
Senior Data Engineer (AWS & Snowflake)
Build cloud-native data pipelines on AWS and Snowflake to power financial crime monitoring and reporting at Australia’s largest bank.
Senior Data Engineer, Python, Spark, DevOps
Build and maintain scalable data pipelines and cloud-native analytics platforms for a major securities exchange, using Python, Spark, AWS Glue, Redshift, and CI/CD practices.
Principal Data Engineer
Lead data architecture and engineering for REA’s property platforms, designing scalable ETL/ELT workflows and cloud data warehouses to power analytics and user experiences.
Data Engineer (AWS) - Sydney
Design and maintain scalable AWS data pipelines, ETL/ELT processes, and cloud data warehouses to support analytics and business decisions.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines and governance for batch and streaming data across multi-cloud environments.
Senior Data Engineer: Scalable Data Pipelines and Cloud
Designs and builds scalable data pipelines in AWS/Azure using Snowflake, Redshift, Spark, and Airflow to deliver analytics-ready data for enterprise clients.
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.
AWS Data Engineer: Scalable Pipelines & Analytics
Senior AWS Data Engineer builds and maintains scalable data pipelines and analytics datasets using SQL, Python, and AWS services like Glue, S3, Redshift, Athena, and EMR.
Senior AWS Data Engineer
Designs and maintains scalable AWS data pipelines using Glue, Redshift, and PySpark to ingest, transform, and serve data for analytics and ML.
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.
Senior Data Engineer
Senior AWS Data Engineer builds scalable data pipelines and analytics-ready datasets on AWS using Glue, Redshift, Athena, PySpark, and dbt.
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.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Senior Data Engineer
Senior Data Engineer builds and optimizes enterprise data pipelines and warehouses, writes SQL and ETL code, and leads technical implementations for a government agency supporting Australians with disability.