2 of 2 Workday Specialist Jobs in the Thames Valley

Job Description: A Workday Specialist is responsible for designing and configuring Workday modules, implementing business rules, and customizing the system based on business needs. You’ll work in close partnership with a range of both external and internal stakeholders, to ensure the project is delivered on time, within budget, and with seamless integration. Key Responsibilities : • Define project … Serve as the central point of contact. • Facilitate clear communication and manage expectations across all levels of the organisation. Essential Skills & Experience: • Proven track record managing end-to-end Workday implementations. • Deep understanding of Workday solutions and implementation best practices. • Strong organisational and time management skills, with the ability to manage multiple workstreams in a dynamic environment. • Excellent More ❯

Position: Workday Integration Specialist – (12-Month Contract) Location : London or Basingstoke (Hybrid) About the Role This leading organisation is on a journey to modernise its technology landscape, leveraging data and digital solutions to drive operational excellence and deliver exceptional outcomes for our teams and customers. Our client is seeking an Integration Specialist to join their Business Technology … team on a 12-month contract. Key Responsibilities Develop, validate, and implement near real-time and real-time integrations using Workday-native tools (Workday Studio, EIB, APIs). Collaborate with Data and Analytics teams to leverage Microsoft cloud technologies, particularly Azure Data Factory and Azure Data Lake. Maintain integration code repositories in Azure DevOps Assess business requirements and … integration issues and use debugging tools to identify and resolve problems. Required Skills and Experience Proven experience building, testing, and maintaining integrations for enterprise systems. Hands-on experience with Workday integration tools (Studio, EIB, APIs). Understanding of software development lifecycle (SDLC) and integration best practices. Strong knowledge of large, complex datasets (structured, unstructured, semi-structured). Excellent communication More ❯