176 to 177 of 177 Azure Data Factory Jobs

days in office Leeds £60K We are looking for a BI Developer to join our clients team in Leeds. The ideal candidate will have experience in PowerBI, Data Engineering, and have a strong understanding of data warehousing and business intelligence. The role will involve working with a team of data engineers to design, develop … and maintain data pipelines. You will also be responsible for creating and managing data models, and developing reports and dashboards using PowerBI. The successful candidate will be a highly motivated and self-directed individual with excellent communication and teamwork skills. They will also have a strong understanding of data analysis and visualization techniques. Responsibilities … Create and manage data models Designing, developing, testing, and implementing robust data applications powered by cutting-edge technologies like Azure DataFactory, PowerBI, Qlikview, and SSRS. Develop reports and dashboards using PowerBI Work with a team of data engineers to improve data quality and performance Provide technical support to users of More ❯

Location: dmg media HQ - High Street Kensington, London, W8 Position: Permanent About the Role We are seeking a motivated ML Engineer/Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms. In this role, you'll work at the intersection of machine learning and data engineering - designing and maintaining scalable data pipelines, supporting analysts and stakeholders with reliable datasets, and deploying ML models into production at scale. You'll play a critical role in ensuring both the data foundations and the ML systems are robust, efficient, and impactful.The ideal candidate is pragmatic, collaborative, and passionate about solving complex problems … with data and machine learning. Main Responsibilities Collaborate with data analysts to create ML models from prototype to production Design, build, and maintain data pipelines and feature engineering workflows Deploy, monitor, and optimize ML models and pipelines in production Implement MLOps best practices including CI/CD, experiment tracking, and model monitoring Support and More ❯