Central London, London, England, United Kingdom Hybrid / WFH Options
Red Personnel
maintain technical documentation, user guides, and training materials. Support business users by creating UAT scripts and facilitating testing. Ensure effective use of MS SQL, including data management, reporting, and performance optimisation. Work collaboratively in an Agile project delivery environment, contributing to sprints and system improvements. Deliver excellent customer service to internal stakeholders, providing clear communication and timely issue resolution. More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
OP
with existing team to ensure smooth transition handover at termination of contract Contribute to CI/CD workflows using Azure Pipelines within an Azure cloud environment. Optimize application for performance, scalability, and accessibility. Troubleshoot and resolve issues across the front end, supporting integration points with back-end services. Maintain design consistency, usability, and accessibility standards across applications. Requirements Proven … of .NET (C#) and how React applications integrate with it. Familiarity with Azure environments, ideally including Azure Pipelines for CI/CD. Strong understanding of responsive design, accessibility, and performance optimization. Familiaity with calender page optimisation A team player with good communication skills More ❯
It is hybrid and will require 3x days onsite per week. You will be responsible for the design, optimize, and maintain Oracle-based data warehouse solutions to ensure high performance, scalability, and alignment with business intelligence and analytics needs. You will have proven experience reviewing and optimizing Oracle data warehouse environments, conducting performance tuning, indexing strategies and partitioning. … Skills: Deep understanding of Oracle data warehouse architecture and performance optimization. Strong knowledge of relational and OLAP modelling principles. Advanced SQL and PL/SQL skills (Oracle 11g/12c or later). Familiarity with data profiling, data quality assessment, and metadata management. Experience identifying and implementing improvements in data warehouse performance, structure, and scalability. More ❯
