Top Tech Jobs & Startup Jobs in Melbourne

Develop machine learning and modeling-and-simulation solutions for complex manufacturing systems. Build digital twins, surrogate models, and optimization tools using engineering principles, physical data, advanced analytics, and ML. Analyze large datasets, support virtual manufacturing qualification, optimize production and warehouse processes, evaluate build-versus-buy solutions, and translate technical insights into actionable business recommendations while collaborating with R&D scientists, engineers, and technology partners.

Build and scale an enterprise AI Workspace through responsive React applications, Node.js and Python backend services, Azure deployment, enterprise authentication, AI integrations, and secure CI/CD practices. Create Power BI dashboards, data models, DAX measures, and Power Query transformations, while integrating reports with enterprise applications. Collaborate in Agile, DevOps-oriented global teams to deliver scalable, maintainable software and actionable business intelligence.

Owns the day-to-day operation, governance, improvement, and user enablement of HSE data systems. Responsibilities include managing HSE Works applications, Power BI reports, data integrity, SharePoint sites, access administration, support requests, documentation, training, and stakeholder governance. The role translates business needs into system requirements, maintains reporting accuracy, supports data engineering, drives adoption, and improves digital HSE processes.

Leads the design, development, deployment, and continuous improvement of scalable Azure data solutions. Builds cloud-native platforms using Spark, Databricks, Python, and SQL; establishes CI/CD, testing, automation, and DevOps practices; resolves complex technical issues; collaborates with global stakeholders; and mentors engineers while contributing to platform architecture and roadmap decisions.

Lead the design and development of cloud-based data platforms, pipelines, ETL/ELT processes, data models, warehouses, and lakes using Azure and Databricks. Build integrations, optimize performance, implement governance, monitor pipelines, resolve issues, and create Power BI reports. Collaborate with product managers and technical teams to deliver scalable, reusable data solutions and document processes.

Own the strategy, roadmap, backlog, and delivery of internal IT data products supporting modern IT service and asset management. Translate customer needs into user stories, personas, journeys, and experiments; collaborate with stakeholders and Agile teams; and make data-driven decisions across data pipelines, governance, quality, and cloud data platforms.

Lead the design and development of cloud-based data platforms using Azure and Databricks. Build and optimize ETL/ELT pipelines, data models, warehouses, lakes, and integrations; implement governance, monitoring, and troubleshooting; and create Power BI reports. Collaborate with product managers and cross-functional teams to deliver scalable, high-quality data solutions, while documenting processes and applying coding and DevOps best practices.

As a Product Supply Manager, you will lead efforts in loss identification, process improvements, project management, and technology integration in manufacturing. You'll develop skills through hands-on experiences and mentoring while coordinating project efforts across teams.