Salary: £55,000 - 65,000 per year Requirements: Proven experience as a Senior Data Engineer, Data Engineer, or BI Data Lead in a modern cloud environment. Strong hands-on experience with Azure Data Factory, Data Lakes, and Data Warehousing. Knowledge of Power BI, ETL processes, and integrating enterprise data sources (SAP, Salesforce, production systems). Excellent communication skills, with the ability to engage across departments and translate data requirements into solutions. Competence in SQL for querying, validation, and optimization. Background in data modeling, data architecture, and data governance frameworks. Responsibilities: Design, build, and maintain robust data pipelines using Azure Data Factory and the wider Azure Data ecosystem. Oversee the data lake architecture, integrating sources such as SAP, Salesforce, and production systems. Collaborate with business stakeholders to translate reporting needs into structured, reliable data models. Partner with the BI Developer to deliver accurate and engaging Power BI dashboards and reports. Define and implement data governance, best practices, and long-term data strategy. Champion the use of data across departments, ensuring insights are clear, actionable, and business-focused. Technologies: Azure Cloud ETL Power BI SAP SQL Salesforce Business Intelligence More: This is an opportunity to take ownership of the data landscape in our organization, which is investing heavily in analytics and insight. As a Senior Data Engineer, you'll play a crucial role in shaping how we use data to inform decisions, connect systems, and deliver value across departments. You will have the freedom to influence architecture, tooling, and strategy in a growing environment, where data is becoming central to business performance. We welcome applications from experienced candidates or those eager to learn more. last updated 13 week of 2026