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SAP EAM/PM Master Data Consultant

Evolve Recruitment Partners Ltd
35 minutes ago
Contract
Not Specified
United Kingdom

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