Salary: £50,000 - 60,000 per year Requirements: Experience working with Azure Data Factory and cloud-based data environments Strong SQL skills for querying, transformation and optimisation Experience building or supporting data pipelines and ETL processes Exposure to data modelling and data warehousing concepts Working knowledge of Power BI or similar BI tools Ability to engage with stakeholders and translate business requirements into data solutions A proactive approach, with an interest in developing into a more senior or lead-level role over time Exposure to enterprise data sources such as SAP, Salesforce or production systems (desirable) Awareness of data governance, data quality or data privacy standards (desirable) Experience contributing to improvements in data processes or standards (desirable) Interest in mentoring, knowledge sharing, or taking on increased responsibility (desirable) Responsibilities: Design, build and maintain data pipelines using Azure Data Factory, with increasing ownership as you develop in the role Work with stakeholders and technical colleagues to support the development of scalable, reliable data models Contribute to the ongoing development of the data platform, including data lakes and integration of sources such as SAP, Salesforce and production systems Collaborate with the BI Developer to deliver accurate and engaging Power BI dashboards and reports Support data governance, data quality and best practice initiatives across the business Play an active role in improving how data is used across departments, helping to turn data into clear, actionable insight Technologies: Azure Cloud ETL Support Power BI SAP SQL Salesforce Business Intelligence More: We are a forward-thinking organization located in Hessle, investing heavily in our data and analytics capabilities. This permanent role offers a salary range of £50,000–£60,000 depending on experience. As a Data Engineer, you will have the opportunity to work with modern Azure technologies and complex data sources while collaborating with a team that values both technical quality and practical impact. We are excited to support your growth into a more senior position as you deepen your technical skills and gain exposure to advanced data engineering concepts. last updated 14 week of 2026