SAP EAM/PM Master Data Consultant at Evolve Recruitment Partners Ltd, United Kingdom, 6 to 12 Months, £Contract Rate

Contract Description

SAP EAM Plant Maintenance Master Data Build Team Member, SAP PM Master Data, SAP EAM Master Data, SAP Plant Maintenance Master Data

SAP EAM/PM Master Data Consultant - Outside IR35 - Remote with occasional travel to Canada

Evolve EPR are looking to recruit 2 x SAP EAM Master Data Consultants for a new project to support the development and governance of high-quality asset and maintenance data within SAP.

This role is critical in ensuring that maintenance strategies are accurately translated into structured SAP data, enabling efficient planning, execution, and long-term asset reliability. You will work closely with engineering, maintenance, and planning teams to build and maintain robust master data aligned with operational standards.

Key Responsibilities

  • Create and maintain SAP Plant Maintenance master data, including:
    • Functional locations
    • Equipment records
    • Maintenance plans and plan items
    • Task lists and operations
    • Measurement points
  • Interpret P&ID drawings and engineering blueprints to accurately structure asset hierarchies and functional locations
  • Develop detailed work instructions based on maintenance strategies and schedules
  • Integrate maintenance tasks into SAP task lists, ensuring clarity and usability for execution teams
  • Assign appropriate Production Resources/Tools (PRTs) to task list operations
  • Ensure strict adherence to asset taxonomy, data standards, and governance frameworks
  • Maintain high levels of data accuracy, consistency, and integrity
  • Collaborate with cross-functional teams to support effective maintenance planning and execution

Skills & Experience

  • Proven hands-on experience with SAP EAM/Plant Maintenance (PM)
  • Prior experience in the mining or heavy asset industry (essential)
  • Strong understanding of end-to-end maintenance processes
  • Experience working with complex mobile asset hierarchies
  • Ability to read and interpret technical drawings and P&IDs
  • High attention to detail with a strong focus on data quality
  • Understanding of maintenance strategies and reliability principles