Salary: £56,000 - 56,000 per year Requirements: Degree in Computer Science, Data Engineering, Mathematics, or a related discipline, or equivalent experience Microsoft certifications in SQL, Fabric, including Power BI, or other Azure Data Services (desirable) Advanced SQL skills, including optimisation of complex queries Experience building data pipelines and ETL/ELT workflows using tools such as Azure Data Factory, Databricks, Airflow, or similar Strong understanding of data modelling Programming skills in Python and/or Scala for data processing (desirable) Experience with machine learning pipelines or MLOps frameworks (desirable) 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 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 Provide technical guidance and coaching to the wider data team members on data engineering best practices Technologies: Airflow Azure CI/CD Data Warehouse Databricks DevOps ETL Fabric Machine Learning Power BI Python SQL Scala Cloud More: At Saffron, we are looking for a talented Data Engineer to help drive the next stage of our data transformation. You will be working in Long Stratton, Norwich, Norfolk, earning £56,000 per annum for a full-time role of 37 hours per week. This position offers the opportunity to shape a modern, scalable data environment and make a real impact on how we use data across the organization. Join our team, collaborate with BI Analysts and various business teams, and help deliver reliable, high-quality data that powers smarter decisions and sharper insights. last updated 18 week of 2026