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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.
Senior Data Engineer (Databricks/Azure) - Hybrid, QLD
Senior Data Engineer builds and optimizes Databricks/Azure pipelines for enterprise clients, focusing on Lakehouse architecture, Delta Lake, and Spark workloads.
Senior Databricks & Azure Data Engineer | Hybrid QLD
Design and optimize large-scale data pipelines using Databricks Lakehouse, Delta Lake, and Spark, with Azure Fabric, Data Factory, and Synapse Analytics.
Senior AI Engineer — Agentic AI (Azure AI Foundry / Databricks)
Build and ship production-grade agentic AI systems on Azure AI Foundry and Databricks for an Australian insurer, owning architecture, pipelines, orchestration, and stakeholder communication.
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.
Senior Data Engineer — Databricks Delivery Leader
Build and deliver Databricks-based lakehouse pipelines and cloud-native data architectures for clients, using Python/Scala/SQL.
Senior Data Engineer - Databricks Data & AI · ·
Senior Data Engineer builds and deploys Databricks-based Lakehouse data pipelines using Spark, Delta Lake, and dbt to productionize AI models and migrate enterprise data platforms.
Senior Data Engineer: API Integrations & Databricks Pipelines
Senior Data Engineer builds and maintains Databricks pipelines and REST APIs to integrate healthcare systems, ensuring scalable data ingestion and governance for reporting and AI.
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.
Salesforce Data Cloud Engineer
Designs and builds Salesforce Data Cloud pipelines, identity resolution, and integrations with Sales/Service/Marketing Clouds using SQL, Python, and APIs.
Senior Data Engineering & Warehousing Solutions Architect
Design and implement scalable data engineering and warehousing solutions on Databricks, guiding customers through cloud transformations and enabling BI workloads.
Data Engineer: AI-Powered Pipelines on Azure Databricks
Design and optimize scalable data pipelines using Python (PySpark), SQL, and Azure Databricks to enable AI-driven insights for the Transport Accident Commission.
Senior Data Engineer
Build and lead scalable data pipelines using Azure Databricks, dbt, and Kimball modeling to power analytics and AI initiatives for an Australian organization.
Databricks Data Platform & AI Engineer
Build and maintain scalable data platforms and AI pipelines using Databricks, Delta Lake, and PySpark on cloud platforms like Azure, AWS, or GCP.
Senior Data Engineer - Flexible WFH & ML Pipelines
Senior Data Engineer builds and maintains cloud data pipelines on Databricks/AWS, enabling analytics and ML use cases while collaborating with data scientists and BI teams.
Data Engineer
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Data Engineering Lead - Azure Databricks & AI Platform
Lead a team building and scaling enterprise data pipelines on Azure Databricks, dbt, and Azure Data Factory using Kimball modelling and Lakehouse/Medallion architectures.
Data Engineer - Azure & Databricks Pipelines (Hybrid)
Designs and builds scalable Azure and Databricks data pipelines using Python (PySpark) and SQL to support analytics and AI initiatives in a government transport agency.
Data Engineer (Big Data & Azure Cloud)
Design and implement big-data pipelines on Azure to improve data governance and enable analytics for risk, customer, and operations teams.