Data Consultant (HCM / Workday)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Consultant (HCM / Workday) based in the United Kingdom. This role sits at the core of a large-scale HR and payroll transformation programme, where data quality, integration, and governance are critical to success. You will act as a key specialist ensuring seamless movement of workforce and HR data into Workday and across downstream systems. The position combines hands-on technical work with strong stakeholder coordination across HR, payroll, IT, and external vendors. You will design and deliver robust data migration and ETL solutions while ensuring accuracy, compliance, and scalability. The environment is highly collaborative and transformation-driven, with significant exposure to complex global data ecosystems. Your work will directly influence the reliability of HR and payroll operations across the organisation. Accountabilities

• Design, build, and maintain ETL pipelines for HR, payroll, and workforce data integration
• Execute data migration activities into Workday and ensure seamless integration with downstream systems
• Develop and enforce data validation, reconciliation, and quality assurance frameworks
• Perform pre- and post-load checks including payroll reconciliation, completeness, and duplication analysis
• Optimise SQL queries and ETL processes to ensure scalability and performance
• Coordinate data migration activities across HR, IT, payroll, and external vendors
• Support cutover planning and execution from a data perspective
• Implement and uphold data governance, compliance, and control frameworks

Requirements

• Proven experience as a Data Consultant, Data Migration Specialist, or Data Integration Engineer
• Strong hands-on experience with Workday HCM implementations and data migration projects
• Advanced SQL skills with solid ETL development expertise
• Strong understanding of HR, payroll, and workforce data structures
• Experience in data validation, reconciliation, and quality assurance processes
• Ability to manage complex data migration activities across multiple stakeholders
• Knowledge of data governance principles and regulatory compliance (e.g., GDPR)
• Strong analytical, problem-solving, and communication skills
• Experience with Workday Payroll or integration tools is a plus
• Familiarity with Agile delivery environments is advantageous

Benefits

• Competitive salary package
• Fully remote working within EMEA/APAC/India regions
• Opportunity to work on large-scale Workday transformation programmes
• Exposure to global HR and payroll systems and complex data environments
• Career development in enterprise data and Workday consulting
• Collaborative, international project environment
• Involvement in high-impact transformation initiatives

How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.