18 of 18 Data Management Jobs in the City of London

in the office per month Job description: OT Application Performance Improvement Responsible for the continual performance improvement of the business-critical Operational Applications. This work includes improving monitoring and management of operational systems to reduce the number of faults that cause disruptions to the customer's service and developing a Strategic Asset Management Plan for the OT Applications … architectural, design or training subject matter expertise in the following: GE Vernova PowerOn - highly desirable/essential (other tools/technology considered) ADMS system knowledge SCADA - Supervisory Control and Data Acquisition systems knowledge AVEVA PI ODMS - Operational Data Management Systems More ❯

and maintain high-quality system performance. Assist with platform enhancements, new features, and ongoing process improvements. Help create training materials and deliver guidance to new and existing users. Maintain data quality, dashboards, and reports while following best practices. Stay current with Salesforce releases and contribute ideas for optimisation. Skills & Experience Some hands-on Salesforce admin experience. Strong analytical and … problem-solving ability, with excellent attention to detail. Confident communicator who can support users at all levels. Basic understanding of data management, reporting, and CRM processes. A motivated, proactive learner with a passion for developing a career in Salesforce. If you're looking to grow your Salesforce skills in a company that invests in its people, we'd More ❯

About the RoleWe are seeking a Databricks Data Engineer with strong expertise in designing and optimising large-scale data engineering solutions within the Databricks Data Intelligence Platform. This role is ideal for someone passionate about building high-performance data pipelines and ensuring robust data governance across modern cloud environments. Key Responsibilities Design, build, and maintain … scalable data pipelines using Databricks Notebooks, Jobs, and Workflows for both batch and streaming data. Optimise Spark and Delta Lake performance through efficient cluster configuration, adaptive query execution, and caching strategies. Conduct performance testing and cluster tuning to ensure cost-efficient, high-performing workloads. Implement data quality, lineage tracking, and access control policies aligned with Databricks Unity Catalogue … and governance best practices. Develop PySpark applications for ETL, data transformation, and analytics, following modular and reusable design principles. Create and manage Delta Lake tables with ACID compliance, schema evolution, and time travel for versioned data management. Integrate Databricks solutions with Azure services such as Azure Data Lake Storage, Key Vault, and Azure Functions. What We're More ❯