Data Scientist

About the Role

RPMGlobal (RPM) is seeking a highly skilled and experienced Data Scientist to join our team working on advanced analytics and data-driven products within a modern Azure-based platform.

This is a permanent full-time role based in our Brisbane CBD headquarters. This position is in-office; however, it allows for ad hoc working from home.

This role is ideal for someone who enjoys working across both data science and data engineering disciplines - designing scalable data pipelines, optimising SQL-based systems, and building intelligent solutions leveraging large language models.

Key Responsibilities

• Design, develop, and optimise ETL pipelines using Microsoft SQL Server
• Implement and maintain incremental data processing using Change Tracking / CDC
• Build and maintain CI/CD pipelines using Azure DevOps
• Develop and deploy data science solutions, including LLM-based features
• Work with Azure cloud services to build scalable, production-grade solutions
• Collaborate with product and engineering teams to deliver data-driven features
• Troubleshoot and performance tune complex SQL workloads

About you

• Bachelor's degree in Data Science, Computer Science, or a related field
• Strong expertise in Microsoft SQL Server, including:
  • ETL development
  • Query performance tuning
  • Change Data Capture (CDC) and Change Tracking
• Experience with Azure DevOps, including CI/CD pipeline implementation
• Hands on experience with large language models and tools such as Semantic Kernel
• Strong experience working with the Azure cloud platform
• Proven track record in developing commercial engineering or technical applications
• Strong communication skills and a collaborative mindset
• Strong command of the English language in both verbal and written form
• Must have the legal right to work in Australia

Highly Regarded Experience

• Experience in data engineering or building data platforms
• Experience with Databricks, Azure OneLake, or similar lakehouse technologies
• Exposure to distributed data processing frameworks (e.g. Spark)
• Experience in the mining or resources industry