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Technical Lead – Data Engineering
Lead a data engineering team to design and build scalable Azure Databricks pipelines for ETL, data modeling, and cloud analytics in a financial-services context.
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.
Cloud Data Engineer: Azure Lakehouse & BI Enablement
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.
Data Engineer: Data Integration & Dashboards (Contract, Melbourne)
Builds and maintains data pipelines and dashboards for anti-corruption reporting using SQL, ETL, and BI tools like Power BI or Tableau.
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.
Technical Lead - Data Engineering
Lead a team to design and build scalable data pipelines on Azure Databricks, migrating legacy systems to modern cloud solutions while mentoring engineers and ensuring data quality and security.
Senior Data Engineer
Design and build cloud-native data platforms using Snowflake, AWS and Python to power analytics, AI, fraud detection and customer intelligence for a large bank.
Azure Data Engineer: Scalable Pipelines & Databricks
Build and maintain scalable Azure data pipelines using Data Factory, Databricks, and Synapse to ensure reliable, high-quality data flows and ETL/ELT processes.
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.
Senior Data Engineer - Hybrid, DW & Cloud Analytics
Senior Data Engineer builds and optimizes ETL pipelines, tunes SQL queries, and maintains an enterprise data warehouse and cloud analytics platform for daily operations and reporting.
Senior Real-Time Data Engineer: Python & Spark Pipelines
Build and optimize real-time data pipelines using Python and Apache Spark to support trading research and large-scale data processing for a quantitative trading firm.
Data Engineer (Financial Analytics focus)
Build and maintain financial data pipelines and reporting systems using PostgreSQL, Airflow, and ELT/ETL processes for a global trading platform.
Senior Data Engineer — Enterprise ETL & CRM Migration
Senior Data Engineer builds and migrates ETL pipelines from legacy systems into a modern CRM using SQL Server and T-SQL, ensuring data quality and optimizing stored procedures.
Principal Data Scientist
Lead AI/ML initiatives at Australia’s largest bank, designing and deploying GenAI, agentic systems, and ML models to reimagine customer service and operations using Python, LangChain, and cloud platforms.
Data Engineering Lead
Lead a team to design and maintain enterprise-scale data pipelines and warehouses using ETL/ELT tools, SQL, and cloud platforms to support insurance operations.
Data Engineer
Designs, builds, and maintains scalable data pipelines and cloud-based data platforms to ensure reliable data ingestion, transformation, and delivery for analytics and downstream systems.