3 of 3 Performance Tuning Jobs in the East Midlands

efficient data solutions. Data Quality Assurance: Implement checks and monitoring processes to ensure accuracy and reliability. Documentation: Maintain detailed technical documentation for data architectures, pipeline designs, and operational procedures. Performance Tuning: Analyse and optimize workflows for performance and cost efficiency. Innovation: Stay current with emerging technologies and best practices to continuously improve our data engineering capabilities. What … with SSAS cubes, Azure-based data pipelines, and containerization technologies. Must have a full UK Driving Licence and access to your own vehicle. Desirable: Familiarity with DAX Studio for performance tuning and query diagnostics. Strong proficiency in DAX (Data Analysis Expressions) for creating complex measures, calculated columns, and tables Background in retail, hospitality, or gaming/gambling sectors. More ❯

maintain ETL solutions using Ab Initio (Graphical Development Environment, Co>Operating System, EME, and Conduct>It). Integrate data from multiple heterogeneous sources into unified, high-quality datasets. Perform performance tuning, debugging, and optimization of existing ETL processes. Implement data quality, validation, and error-handling frameworks. Collaborate with architects and DBAs on data modeling, pipeline design, and environment … warehouse concepts . Familiarity with big data ecosystems (Hadoop, Hive, Spark) and cloud platforms (AWS, Azure, GCP) is a plus. Proven ability to troubleshoot complex ETL jobs and resolve performance issues. Experience working with large-scale datasets and enterprise data environments. Experience in the banking, financial services domain preferred. Exposure to CI/CD pipelines and DevOps tools for More ❯

someone who enjoys solving problems, improving systems, and working collaboratively across teams. Key Responsibilities Maintain and manage SQL Server and Azure data environments Ensure data system security, patching, and performance tuning Support ETL services and data operations Analyse and remediate legacy data structures Contribute to transformation and change initiatives Identify opportunities to improve data processes and suggest solutions More ❯