Fulltime: 37hrs per week Proposed Interview Date: TBC Saffron is looking for a talented Data Engineer to help drive the next stage of our data transformation. This role is all about building and optimising our Azure-based data platform, developing high-performing pipelines in Azure Data Factory, and supporting our move toward Microsoft Fabric. You will work closely with BI Analysts and teams across the business to deliver reliable, high-quality data that powers smarter decisions and sharper insights. It is a chance to shape a modern, scalable data environment and make a real impact on how we use data across the organisation. Key Responsibilities: Design, build, and maintain a scalable Azure-based data warehouse that meets the current and future requirements of the Data & Analytics team. Lead the introduction, adoption, and optimisation of Microsoft Fabric (e.g., Lakehouse, Warehouse, Data Engineering, Pipelines). Apply CI/CD practices (e.g., Azure DevOps) for version control, deployment automation, and environment management. Implement data quality checks, pipeline observability, alerting, and automated monitoring to ensure consistent platform reliability. Work collaboratively with data owners and the wider data team to ensure data definitions, lineage, and ownership are clearly established. Work collaboratively with data owners and the wider data team to ensure data definitions, lineage, and ownership are clearly established. Provide technical guidance and coaching to the wider data team members on data engineering best practices. For a full list of responsibilities please see the attached Role Profile Our Ideal Candidate Will Have: Education and Qualifications: Degree in Computer Science, Data Engineering, Mathematics, or a related discipline, or equivalent experience (E) Microsoft certifications in SQL, Fabric, including Power BI, or other Azure Data Services (D) Experience: Advanced SQL skills, including optimisation of complex queries (E). Experience building data pipelines and ETL/ELT workflows using tools such as: Azure Data Factory, Databricks, Airflow, Luigi, or similar (E) Strong understanding of data modelling (E) Programming skills in Python and/or Scala for data processing (D). Experience with machine learning pipelines or MLOps frameworks (D). Personal Attributes: Confident communicator able to engage both technical and non-technical audiences. Proactive, innovative, and committed to continuous improvement. Collaborative, with mentoring and leadership capabilities. Customer-focused, with a commitment to improving services through data. Experience working in a busy, fast-paced workload, and managing multiple projects to meet deadlines. INDHIGH