Why this role stands out This isn’t a pure data science role sitting in notebooks. It’s a hands-on, end-to-end position where you’ll design data pipelines, optimise large-scale SQL environments, and build real-world AI features used in production. You’ll be working on a modern Azure platform, solving complex data problems, and helping shape how advanced analytics and LLM capabilities are embedded into core products. If you enjoy building, not just modelling, this is worth a look. What you’ll be doing Designing and optimising ETL pipelines in Microsoft SQL Server Implementing incremental data processing (CDC / Change Tracking) Building and maintaining CI/CD pipelines in Azure DevOps Developing and deploying data science and LLM-driven features Working across Azure services to deliver scalable, production-grade solutions Tuning and troubleshooting complex SQL workloads Partnering with product and engineering teams to deliver data-driven functionality What we’re looking for Strong experience with Microsoft SQL Server (ETL, performance tuning, CDC) Solid background (3 plus years) across data engineering and/or data science Experience working in Azure environments Exposure to CI/CD (Azure DevOps preferred) Hands-on experience with LLMs or modern AI tooling Ability to build production-ready solutions, not just prototypes Strong communication skills and a collaborative mindset Full working rights in Australia Nice to have (not essential) Databricks, OneLake or similar lakehouse technologies Spark or distributed data processing Geospatial / spatial data experience Strong mathematical or statistical background Experience in mining, resources, or heavy industry The environment Established, well-funded technology business Real products, real users, real impact Complex data challenges at scale Collaborative engineering and product teams Long-term opportunity with strong technical ownership What’s on offer Competitive salary super Brisbane CBD location Flexible working (with an in-office core) Work on modern Azure and AI-driven systems Genuine influence over architecture and direction If you’re someone who enjoys getting into the detail, solving hard data problems, and seeing your work in production - this is a strong opportunity.
