At a Glance
- Tasks: Review and validate maintenance work orders in our Asset Management Information System.
- Company: Join a dynamic team in West London focused on asset management.
- Benefits: Competitive day rate for a 3-month contract with potential for growth.
- Other info: Work independently while collaborating with maintenance and engineering teams.
- Why this job: Make a real difference by improving data quality and supporting effective asset management.
- Qualifications: Experience with AMIS or similar systems and strong analytical skills required.
The predicted salary is between 35000 - 40000 £ per year.
Duration – 3 months
Rate – (Apply online only) Ltd day rate
Location – West London area
The role will be responsible for reviewing and triaging open Emergency Maintenance, Planned Maintenance and Corrective Maintenance work orders within the Asset Management Information System (AMIS). Responsibilities include:
- Review, triage and validate open Emergency Maintenance, Planned Maintenance and Corrective Maintenance work orders within AMIS.
- Investigate and close legacy work orders where maintenance activities have been completed.
- Ensure outstanding maintenance records are accurate, complete and reflect current asset status.
- Improve the quality and integrity of maintenance data to support effective asset management, planning and reporting.
- Work with operational teams to resolve discrepancies and ensure timely completion of maintenance records.
The successful candidate:
- Experience using an Asset Management Information System (AMIS, Maximo, Ellipse, SAP PM is essential).
- Knowledge of maintenance work order lifecycles (Emergency, Planned and Corrective Maintenance).
- Strong data quality and analytical skills essential.
- Ability to work independently to cleanse and validate historic records.
- Good stakeholder engagement with maintenance and engineering teams.
We think you need these skills to ace Data Entry in London
Communication Skills
Problem-Solving Skills
Attention to Detail
Data Engineering
Python
SQL
ETL/ELT Processes
