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Owns the AI learning loop for robotics fleet data, optimizing models and retrieval systems for cost-efficient, weekly-delivered production outputs.
Senior Azure Cloud Platform Engineer on a Federal Government project in Canberra, designing and maintaining cloud-hosted platforms using Infrastructure as Code, with a focus on IAM, networking security, and data/analytics in an Agile team.
Leads data engineering, architecture, analytics, and governance for Barwon Water’s digital transformation, designing scalable, secure data platforms and AI-ready foundations while mentoring teams.
Principal/Lead Data Platform Engineer on AWS, building and modernizing cloud-native data and ML model platforms for large-scale credit risk workloads in a regulated banking environment.
Lead AWS-based data platform engineering for credit risk models at Commonwealth Bank, focusing on cloud-native architecture, ML workloads via SageMaker, and large-scale data pipelines.
Builds and maintains AWS cloud infrastructure, MuleSoft integrations, and scalable data pipelines to support health research under the GenV program.
Build and migrate data pipelines for a banking modernization program, moving Hadoop workloads to AWS and Snowflake while ensuring secure, scalable solutions.
Leads end-to-end data engineering projects using Azure tools, designs scalable pipelines, and mentors teams while advising clients on data architecture.
Leads a data engineering team to design, build, and optimize automated pipelines for processing aerial survey data into geospatial products (e.g., MetroMap, LiDAR) using cloud-native tools and best practices.
The Senior Data Engineer will design scalable data pipelines and lakehouse architectures using Microsoft Fabric and Azure Data Factory to support generative AI and agent-based data products.
The Lead Data Engineer will design and deliver scalable data solutions on Microsoft Azure to support analytics and AI initiatives. This hands-on role involves mentoring team members, implementing CI/CD and automation, and collaborating with stakeholders to drive data quality.
The Senior Azure Data Platform Engineer will design, build, and maintain cloud-hosted data and analytics platforms using Azure Databricks, Data Factory, and Microsoft Fabric. The role involves implementing Infrastructure as Code and secure IAM settings within an Agile team environment.
Design, build, and support scalable cloud data solutions and modern data pipelines using Snowflake, DBT, AWS, Python, and SQL, while implementing data models, quality controls, and governance.
The Lead Data Engineer will build and maintain enterprise data platforms to support analytics, AI, and ML initiatives within a Federal Government environment using Azure Databricks and Microsoft Fabric.
The Data Engineering Manager will lead a team to build and maintain scalable data pipelines for high-resolution aerial imagery and 3D geospatial products. This hands-on role involves collaborating with leadership to set priorities and ensure the delivery of high-quality geospatial data solutions.
The Data Engineering Lead will oversee the development of scalable, secure data platforms and drive data governance and responsible AI adoption at Barwon Water. This role involves leading a team and collaborating with senior stakeholders to deliver high-value data products.
The Lead, Enterprise Data & Platform Engineering will oversee data strategy, platform architecture, and pipelines for a major infrastructure program in Sydney. The role involves managing data and software engineering functions to deliver insights and improve services.
The Head of Data & Platform Engineering leads the data and software engineering function for NSW's major transport program. This role oversees enterprise data platforms, analytics, and technology roadmaps within a safety-critical environment.
This contract role involves building enterprise data pipelines and Lakehouse architectures for a government organization focused on climate and environmental resources. The position requires expertise in Databricks, PySpark, and Azure cloud services.
The Analytics Engineer will curate analytical datasets and develop scalable ETL pipelines to support enterprise reporting and decision-making for Queensland X-Ray. This role bridges data engineering and analytics to standardize reporting processes across multiple radiology entities.
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