About this role Senior Data Engineer - Shape the Future of Data Innovation Why You'll Be Excited About This Role Are you ready to be at the forefront of data innovation? We're embracing Microsoft Fabric and AI at a pace that outstrips other organisations, offering you the rare opportunity to design and execute cutting-edge data solutions. You'll take full end-to-end ownership of our Azure data ecosystem, driving the transformation of our operational data warehouse into a modern, scalable platform. The next 12-18 months will see you tackle substantial, value-adding projects that will make a real difference to our business. You'll be instrumental in shaping our data future, working with best-in-class tools and technologies while having the freedom to innovate and implement best practices. How This Will Transform Your Career This role offers a unique pathway to leadership in the data space. While not initially a people management position, you'll have the opportunity to lead through technical excellence and mentoring. You'll be recognised as a key technical leader, co-owning the platform with our Head of BI and Data, and guiding our analyst team in best practices. For high performers, there's a clear progression path towards a leadership role within our data team. Why You'll Like Working Here At Freedom, we've earned our certification as a Great Place to Work by putting our people first. We've created an environment where innovation thrives, and every team member can make their mark. Our culture is built on transparency and collaboration, ensuring you'll always have clarity about your progress and impact. You'll enjoy: Hybrid working arrangements that respect your work-life balance A competitive salary package with superannuation Generous 25% staff discount on all Freedom products, including sale items True flexibility with our innovative 'Freedom to Flex' program - work from anywhere in the world for up to 4 weeks annually Monthly themed pop-up Town Hall's to connect with wider teams in our Support Centre What You'll Be Working On You'll take ownership of our Azure Operational Data Warehouse, where your responsibilities will include: Key Responsibilities: Data Platform & Architecture Design, build, and maintain modern data architectures including data lakes, Lakehouse, and data warehouses. Lead implementation and optimisation of Microsoft Fabric components (Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows Gen2). Define and maintain data modelling standards (star schema, semantic models, dimensional modelling). Ensure scalability, performance, cost optimisation, and security of data platforms. Data Engineering & Integration Build and maintain robust ELT/ETL pipelines using Fabric Pipelines, Azure Data Factory, Databricks, SSIS or equivalent tools. Ingest, transform, and consolidate data from multiple sources (ERP, CRM, POS, APIs, flat files, third party systems). Apply data quality checks, validation rules, and reconciliation processes. Ensure data lineage, metadata management, and documentation are in place. Analytics & Power BI Enablement Partner with BI developers and analysts to deliver high quality Power BI datasets and reports. Design and optimise Power BI semantic models for performance, reusability, and scalability. Support development of enterprise dashboards, self-service analytics, and executive reporting. Implement row level security (RLS), incremental refresh, and performance tuning best practices. Governance, Quality, and Documentation Ensure clear data lineage, metadata, and documentation across all pipelines. Contribute to data governance practices, including naming standards, access controls, and quality metrics. Promote best practices for production support, change management, and release discipline. What Type of Person Will Succeed You're an experienced data engineer with: 5 years' experience in data engineering , supporting production data platforms. Strong experience building and operating enterprise-grade data pipelines . Proven expertise with Microsoft data technologies, including: Microsoft Fabric Azure Data Factory or equivalent pipeline tools Azure Data Lake and SQL-based data platforms Strong SQL capability and solid understanding of data warehousing principles. Hands-on experience with Python, PySpark, or similar for data transformation. Experience working with structured and semi-structured data at scale. Knowledge of Microsoft Fabric and modern lakehouse architecture would be highly valuable for this role. How to Apply We're excited to grow our team and would love to learn more about you. To take the first step towards your future at Freedom, click the apply button to submit your application and don't forget to attach your resume. Freedom to grow. Freedom to think. Freedom to be
