Data Engineer

Overview UTS College is the premium pathway for students into the University of Technology Sydney (UTS), Australia's number one young university. Our vision is to actualise potential and enhance lives through the power of learning, our actions, and our people. Our purpose is to provide the best available opportunity for students to develop the knowledge, skills and attributes they need to attain their goals through market-leading courses, teaching excellence and an emphasis on the student experience. About the Role We have an exciting opportunity for a Data Engineer to join our IT & Digital Services (ITDS) team. Reporting to the Architecture and Security Manager, this role is responsible for the design, implementation, and management of secure and scalable data solutions. We’re embarking on a transformation to modernize our data infrastructure by replacing our current on-premises data warehouse with a new cloud-based solution. As a Data Engineer, you’ll play a key role in designing, building, and implementing this next-generation platform. You\'ll work closely with business stakeholders to develop a new data model, understand and apply complex business rules, and ensure their accurate reflection in downstream reporting. You\'ll also help define and deliver a suite of “Gold Standard” reports and be responsible for designing and building robust ETL/ELT processes that support trusted, scalable data pipelines You will also be pivotal in designing, building and maintaining the College\'s data infrastructure and architecture, ensuring the quality, integrity and availability of information to support our strategic analytics and operational objectives. Responsibilities include: Design & Build: Architect, develop, and maintain scalable and robust data pipelines and ETL/ELT processes for our new cloud data platform to collect, process and store data from multiple sources. Drive the Migration: Play a key role in the strategic planning and hands-on execution of migrating data from on-premises sources (SQL Server and a number of source systems) to the cloud Snowflake with a Fabric front end. Optimise Performance: Monitor, troubleshoot, and optimise data pipelines to ensure data quality, reliability, and performance. Collaborate & Innovate: Work closely with technology and business stakeholders to understand their needs and deliver high-quality data solutions. Ensure Best Practices: Implement and advocate for data engineering best practices in data modelling, data governance, and security. Document & Report: Create and maintain comprehensive documentation for data pipelines, system architecture, and processes. Generate reports on data quality, pipeline performance, and migration status to ensure transparency and support project governance. Develop and deliver visualisation dashboards in accordance with best practice methodologies ensuring requirements are gathered and met and reports are tested and delivered to agreed standards and timeframes. Create robust processes for data quality assurance and resolve incidents assigned within agreed timeframes. Develop and implement data models with the Data Architect in agreed timeframes Contribute towards master data management by educating end users and maintaining data integrity Implement monitoring, logging, and alerting to maintain reliability and performance. Your Skills & Experience Essential Skills: Bachelor\'s degree in computer science, Data Engineering, Information Technology, or related field (or equivalent experience). Proven experience as a Data Engineer with a strong focus on cloud data solutions. Hands-on experience with Snowflake or Microsoft Fabric is essential. Demonstrated success in migrating data from on-premises databases to a cloud data warehouse. Proficiency in Power BI, SQL and a scripting language like Python. Solid understanding of ETL/ELT principles and experience with data integration tools. Familiarity with major cloud platforms such as Azure, AWS, or GCP. Knowledge of data governance, data security, and compliance best practices. Strong understanding of cloud cost management (FinOps) to ensure that our data solutions remain both scalable and cost-efficient. Nice-to-Haves: Experience in the Higher Education sector Experience with data orchestration tools. Knowledge of CI/CD pipelines for data engineering. Certification in Snowflake, Microsoft Fabric, or a major cloud provider. What UTS College has to Offer A flexible work environment. A diverse workplace with a passion for encouraging and supporting inclusiveness Wellbeing programs (including discounted gym memberships, free and confidential access to an Employee Assistance Program, and wellbeing initiatives and resources) Continuous learning and professional development (including ongoing learning & development opportunities, free LinkedIn Learning access and the UTS Library) An easy-to-use Staff Recognition Program Additional paid leave over the December end of year holidays A competitive salary that includes 12% super and holiday leave loading paid annually, and salary sacrifice options If this sounds like you, we’d like to hear from you For more information about UTS College visit utscollege.edu.au #J-18808-Ljbffr