Fabric Data & Analytics Engineer

Job Title: Fabric Data & Analytics Engineer Company: c/- Bundaberg Brewed Drinks Job Category: Machine Learning Roles & Responsibilities: At Bundaberg Brewed Drinks, we believe great data leads to great decisions — and we’re looking for a passionate and skilled Fabric Data Engineer to help shape our growing analytics landscape in our Bundaberg Office. About the Role Reporting to the IT Manager \- BI, Data \& Automation, this role combines modern data engineering, advanced analytics and machine learning to support business decision\-making across the organisation. You'll work within Microsoft's Fabric platform to develop scalable data solutions, automate workflows, and deliver meaningful insights that drive business performance. Key Responsibilities * Design, build and maintain data pipelines and analytical solutions within Microsoft Fabric. * Develop, deploy and monitor machine learning models used for prediction, forecasting and classification. * Perform statistical analysis, feature engineering and exploratory data analysis on large and complex datasets. * Create automated analytical workflows using Pipelines, Lakehouse, notebooks, Python and PySpark. * Monitor model performance, data quality and retraining requirements. * Collaborate with business stakeholders to identify opportunities and translate business needs into data\-driven solutions. * Present insights and recommendations to both technical and non\-technical audiences. * Maintain robust documentation, governance and best practice standards for analytics and AI solutions. To be successful in this role, you will ideally have: We're not just passionate about craft\-brewed beverages — we're passionate about our people and innovation. You'll join a supportive culture that values curiosity, creativity, and continuous learning. It’s an exciting time to come on board and help shape our data\-driven future. Work Location: In person Work Location: Thabeban, Australia Availability: Full time

* A degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology or a related field. * Experience building and deploying machine learning models in a production environment. * Strong Python skills, with experience in data analytics and automation. * Experience working with Microsoft Fabric, Spark and PySpark. * Knowledge of SQL, data warehousing and data modelling. * Experience developing automated data pipelines and workflows. * Strong analytical thinking and problem\-solving skills. * Excellent communication and stakeholder engagement capabilities. * An understanding of responsible AI, data governance, privacy and security principles. * Four or more years' experience in data science, machine learning, advanced analytics or data engineering. Key Skills: Machine Learning, Python, Feature Engineering Salary: AUD 83000 - 83000 per yearly