3 of 3 Regression Testing Jobs in Milton Keynes

enhancements, and drive payroll excellence across the business. This position requires someone who is comfortable rolling up their sleeves—diving into complex issues, supporting testing cycles, and managing configuration updates while maintaining a solutions-focused mindset. What You'll Do Deliver end-to-end Workday payroll processing, ensuring accuracy … compliance, and timely execution for our client. Lead and support Workday payroll testing, including regression testing, UAT, parallel runs, and system updates. Partner with project teams on Workday enhancement initiatives, payroll integrations, and workflow improvements. Troubleshoot payroll issues, perform root-cause analysis, and implement corrective actions. Maintain ...

experienced hands on Test Lead with the following must have skills and experience. Required skills and experience: Min of 5 years of commercial SW Testing experience The Ideal candidate will have experience within the Life and Pensions Insurance industry. Good working knowledge of Azure Dev Ops (Required) Experience designing … scenarios and scripts manual and automated. (Required) Good working knowledge of Windows operating system (Required) . Business Analytical experience (preferred) Experience load/stress testing software using automated tools.(preferred) Ability to understand the core pension admin system components and new functionality, with the ability to design and create ...

building/managing data warehouses (using tools like DBT). You will cover essential Data Statistics, helping learners understand probability, distributions, and hypothesis testing to drive accurate decision-making. Curriculum Development and Innovation You will apply your specific data industry experience to keep our curriculum cutting-edge. This involves … technically-focused Data Analyst. Core Engineering & Scripting: Extensive experience with Python and SQL. You must be comfortable teaching engineering best practices (clean code, testing, version control) within a data context. Data Engineering Lifecycle: Practical experience in designing and implementing ETL processes, data modelling, and managing data warehouses (experience with ...