Materials Master Data Coordinator (Mechanical Technical Assistant)

Materials Master Data Coordinator (Mechanical Technical Assistant) Location: Esbjerg, Denmark Contract Type: Contract Position (Residential) Start Date: January 2027 Duration: 12 Months Work Schedule: Monday - Friday Work Arrangement: Full Time Onshore Purpose of the Position Responsible for reviewing, validating, correcting, and coordinating Material Master data updates to ensure high-quality technical master data within the ERP system. The role supports procurement, maintenance, and operational efficiency by ensuring accurate and complete technical information for materials and equipment. Key Responsibilities

• Review affiliate Material Master descriptions within Mechanical discipline.
• Identify and verify VDM and other relevant technical information individually.
• Analyze and validate technical specifications and equipment data.
• Correct and improve Master Data quality and consistency.
• Ensure correct classification, descriptions, and technical attributes.
• Coordinate required corrections with relevant stakeholders.
• Receive and track approvals for Master Data corrections and changes with technical duets.
• Submit finalized updates for implementation in the system.
• Follow up on update status and ensure completion.
• Maintain documentation and traceability of changes performed.

Background / Qualification / Experience Educational Background:

• Technical assistant, or similar technical education.

Experience:

• Experience within technical services, maintenance, procurement, or master data management.
• Knowledge of industrial equipment, spare parts, and technical documentation.
• Experience working with ERP (e.g. SAP) or other maintenance systems is an advantage.

Technical Competencies:

• Understanding of Material Master data structures.
• Ability to interpret technical drawings, specifications, and vendor documentation.
• Familiarity with VDM and technical classification systems.
• Strong analytical and detail-oriented mindset.

Personal Competencies:

• Structured and systematic approach to work.
• Good communication and coordination skills.
• Ability to work independently and follow tasks through to completion.
• High attention to data accuracy and quality.