SAP EAM Engineer: Asset Maintenance & Data Expert in Catcliffe

SAP EAM Engineer: Asset Maintenance & Data Expert in Catcliffe

Catcliffe Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Linde plc

At a Glance

  • Tasks: Be the go-to expert for SAP EAM and support plant maintenance across the UK.
  • Company: Join Linde plc, a leader in innovative engineering solutions.
  • Benefits: Enjoy competitive pay, health perks, and opportunities for professional growth.
  • Other info: Dynamic role with potential for career advancement in a supportive environment.
  • Why this job: Make a real difference in asset maintenance and work with global teams.
  • Qualifications: Experience with SAP EAM and strong data management skills required.

The predicted salary is between 50000 - 70000 Β£ per year.

Linde plc is seeking an experienced SAP EAM Engineer to act as the primary subject matter expert for SAP EAM (Plant Maintenance) and related systems in a UK-based role.

You will support onboarding of new plants/assets, maintain engineering master data, and deliver training to engineering and maintenance staff.

You will develop reports and dashboards to drive maintenance performance, support plant shutdowns, and work with global teams on enhancements and integrations, including Fiori apps.

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SAP EAM Engineer: Asset Maintenance & Data Expert in Catcliffe employer: Linde plc

Linde plc is an excellent employer, offering a dynamic work environment in Uttoxeter where employees can thrive in their roles as Calibration Gas Production Specialists. With a strong focus on quality and operational excellence, the company provides generous holiday allowances, a rewarding bonus scheme, and comprehensive healthcare benefits, fostering a culture of support and growth for all team members.

Linde plc

Contact Details:

Linde plc Recruitment Team

We think you need these skills to ace SAP EAM Engineer: Asset Maintenance & Data Expert in Catcliffe

Problem-Solving Skills
SQL
Communication Skills
Python
Data Engineering
ETL/ELT Processes
Data Pipeline Development