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AWS Data Engineering Lead – Principal Level
Lead a team of data engineers to design and build scalable AWS data pipelines using Snowflake, ensuring high-quality data for regulatory reporting and analytics at a major Australian bank.
AI Architect
Design and lead enterprise-scale AI systems using LLMs, RAG, and agentic architectures on Azure/GCP, integrating with Microsoft 365 Copilot and Google Vertex AI.
Data Engineer
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.
Senior Associate Data Engineering
Design and build large-scale data pipelines and cloud-native platforms using Snowflake/Databricks, Python, SQL, and IaC tools like Terraform to enable analytics and digital transformation for enterprise clients.
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.
Chief Data Engineer
Lead a team of data engineers to build and maintain AI-ready data platforms, writing production-grade Python/SQL code and coaching teams on data science principles.
Senior Data Engineer
Senior Data Engineer builds and owns a new Fabric-based data platform for an ASX-listed financial group, migrating from Snowflake/Tableau and integrating AI into daily workflows.
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 - Snowflake for Healthcare Data
Designs and builds scalable Snowflake-based data pipelines for healthcare analytics, using SQL, Python, dbt, Snowpipe and Snowpark.
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 Engineering & Platforms Team Leader
Lead a team modernizing Western Power’s data systems, integrating legacy Oracle/Informatica with Snowflake and dbt to shift toward a federated, domain-driven architecture.
Principal Data Engineer & Data Strategy Advisor
Leads data-architecture engagements for clients, designing Snowflake-centric solutions and aligning data roadmaps with business goals.
Principal Data Engineer (AWS)
Principal Data Engineer designs and builds scalable AWS-based data pipelines and platforms for regulatory reporting, integrating diverse financial data to support compliance and analytics.
Data Engineer: Architect Data Pipelines & Governance
Design and implement data pipelines and governance frameworks using Python, Databricks, Snowflake, and cloud services (Azure, AWS, GCP) for a new data platform.
Senior Data Engineer (Snowflake)
Build and optimize scalable data pipelines on Snowflake to power digital health solutions, integrating cloud, SaaS, and enterprise systems for analytics and reporting.
Principal Data Engineer (AWS)
Lead the design and delivery of scalable AWS-based data platforms for regulatory reporting, integrating diverse financial data sources to ensure compliance and enable analytics.
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.
Salesforce Data Engineer
Designs and builds Salesforce Data Cloud solutions, ETL pipelines, and customer 360 profiles, integrating Salesforce with external systems using SQL, Python, and cloud platforms like Snowflake and AWS.
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.
Snowflake Data Engineer – HealthTech Data Pipelines & Security
Build and maintain Snowflake data pipelines and analytics for healthcare programs, using SQL, Python, and dbt to ensure secure, scalable data interoperability.