Data Engineer

Nuage has partnered with one of Melbourne’s highest-performing data teams to hire a DataOps Engineer to support and evolve a large-scale Azure data platform. You’ll be working across enterprise data pipelines, IoT feeds, Databricks workloads and alerting/incident response, blending platform engineering, operational reliability, and hands-on pipeline enhancement. This is a rare opportunity to join a mature data function working with some of the strongest engineers in the market, while still contributing to greenfield platform build work and new data source onboarding.What You’ll Be DoingSupport & enhance enterprise-wide Azure data pipelines (ADF / Databricks)Monitor and respond to production alerts & incidents (DataOps / Observability)Troubleshoot and resolve pipeline failures and performance issuesBuild and onboard new data sources into the platformWork across IoT data ingestion and optimisationMaintain and improve CI/CD pipelines and deployment processesTech StackAzure (Data Lake, ADF, Synapse)Databricks (Python, Notebooks, Spark)GitHub / Azure DevOps CI/CDMonitoring, alerting & automation tooling (experience with runbooks a bonus)Solid SQL + Python scripting experience preferredWhy JoinEnterprise-scale data environment with high volume + complexityWork with a senior, collaborative engineering groupBlend of BAU stability + new platform build and enhancementContinuous learning with exposure to IoT, large-scale pipelines, and automationSecure, innovative business investing heavily in data platformsFast interview processSound Like You?If you're excited by the idea of being the force that keeps data platforms running, scaling, and evolving, while still contributing to build-focused engineering work, let’s talk.