2 of 2 Permanent Data Modelling Jobs in Cleveland

We are looking for a highly skilled and motivated Lead Data Engineer to join our growing data team. In this role, you will lead a small team of Data Engineers and Analysts, driving the design, development, and maintenance of scalable, secure, and high-performance data solutions on the Microsoft Azure platform. You will provide hands-on … technical leadership while shaping the strategic direction of the data infrastructure to support analytics, reporting, and business intelligence across the organisation. Location: Stockton on Tees Department: Data & Analytics Employment Type: Full-Time/Permanent/Hybrid Key Responsibilities Lead and mentor a team of Data Engineers/Analysts, fostering a culture of innovation, collaboration, and continuous improvement. … Design, build, and optimise data pipelines, data models, and data warehouses using Azure Synapse Analytics, Azure Data Factory, and Azure SQL. Ensure the reliability and performance of data pipelines and infrastructure. Collaborate with stakeholders and analysts to deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter More ❯

We are on the lookout for a Data Engineer with a robust background in SQL Server and ideally Azure Data Factory. The ideal candidate will have a wealth of experience in business intelligence, data modelling, and visualisation, and will be proficient in Agile Scrum Development methodology. This pivotal role involves leading the development of business intelligence … hybrid based in Middlesbrough, with on-site presence 2-3 times weekly. Day to Day of the role: Lead the development of BI Solution Architecture, Replication Warehouse, and secure data sets using the Microsoft application stack. Create and maintain secure data sets for systems, enabling Key users to produce reports. Perform ETL integrations and support tasks using Azure … Data Factory (ADF) and other technologies. Coach and mentor junior BI professionals. Test and modify new data sets and reports to ensure reliability and operational continuity. Address data integrity, quality, and robustness issues in legacy/system data to enhance reporting. Develop and update BI process maps that underpin system architecture and configuration. Drive excellence through More ❯