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Azure Data Platform Engineer for Analytics & AI Automation
Designs and maintains a cloud-based Azure data platform for analytics and AI automation using Databricks, Data Lake, Terraform, and CI/CD.
Data Platform Engineer, Solna
Build and maintain a secure, scalable Azure-based data platform for analytics, AI, and reporting, using Databricks, Data Lake, Terraform, and CI/CD pipelines.
Data Platform Engineer, Solna
Build and run a secure, scalable Azure-based data platform (Databricks, Data Lake) that powers analytics, AI, and reporting for a logistics company.
Azure Data Platform Engineer - Cloud, AI & Automation
Designs and maintains a scalable Azure and Databricks data platform for analytics, AI, and data products, using Terraform, CI/CD, and observability tools.
Data Platform Engineer, Solna
Build and maintain a secure, scalable Azure and Databricks data platform that powers analytics, AI, and business insights for a logistics company.
Data Engineer (Health Manager Lvl 3) - Perm FT
Build and maintain scalable data pipelines and platforms for NSW Health, integrating clinical and financial systems using SQL, SSIS, and cloud tools to support data-driven healthcare delivery.
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.
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.
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.
Technical Lead - Data Engineering
Lead the design and build of a modern Azure-based data platform, owning scalable pipelines, governance, and mentoring engineers to power enterprise analytics and ML.
Data Engineer
Build and optimize scalable data pipelines using Python (PySpark), SQL, Azure, and Databricks to deliver reliable data products for analytics and AI at a government road-safety agency.
AI & Data Architect (Enterprise AI & Data Platforms)
Designs enterprise-scale AI and data platforms, including RAG systems and cloud-native architectures, while establishing governance frameworks and vendor-agnostic standards for secure, scalable AI solutions.
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.
Senior Data Engineer | Azure & Data Forensics
Senior Data Engineer builds and optimizes Azure-based data pipelines for a NSW government department, reverse-engineering legacy systems and cleaning messy data using Medallion Architecture and Power BI.
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.
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- Data Bricks
Build and maintain scalable data pipelines and analytics solutions on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage to power Tennis Australia’s data warehouse and reporting needs.
Contract Azure Data Engineer - SQL & PySpark Pipelines
Builds and maintains Azure-based data pipelines using SQL, PySpark, and Azure Synapse to enable scalable, governed data workflows for analytics.
Senior Data Engineer- Data Bricks
Senior Data Engineer builds and maintains scalable data pipelines and analytics solutions on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage to power Tennis Australia’s reporting and AI needs.
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.