Rail Signalling Engineer — Reliability & Analytics

Keolis Group; Greater London; On-site; GBP 32,000 - 42,000; Full time

Job summary

KeolisAmey Docklands is seeking a VIE to join the Signalling Engineering Team in London. You will support planned and corrective maintenance, fault response, emergency cover and engineering support across the signalling asset base, reporting to the Signalling Engineering Manager.

The role emphasizes data-driven reliability, asset performance, and collaboration with multidisciplinary teams. You will work with Excel, Power BI and other Microsoft tools to analyze data, contribute to small projects,

Qualifications

• Degree in electrical, electronics, computer or systems engineering.
• Experience in data analytics, condition monitoring or performance analysis is advantageous.
• Proficiency in English, written and spoken.

Responsibilities

• Provide technical support and guidance to signalling maintenance teams.
• Conduct fault investigation and root-cause analysis.
• Improve reliability and performance of signalling assets.
• Deliver small KAD-led signalling projects.
• Develop and review maintenance standards, procedures and documentation.
• Plan and assure compliance with maintenance obligations and contractual requirements.
• Manage signalling competence approvals and authorisations.
• Support major client-led projects, renewals and enhancements.
• Report failures, defects and performance issues to the client.

Skills

Analytical skills

Problem solving

Data analysis

Independent working

Team collaboration

Education

Electrical/Electronics/Computer Engineering degree

Tools

Excel

Word

PowerPoint

SharePoint

Power BI

Power Automate

Job description

KeolisAmey Docklands is seeking a VIE to join the Signalling Engineering Team in London. You will support planned and corrective maintenance, fault response, emergency cover and engineering support across the signalling asset base, reporting to the Signalling Engineering Manager.

The role emphasizes data-driven reliability, asset performance, and collaboration with multidisciplinary teams. You will work with Excel, Power BI and other Microsoft tools to analyze data, contribute to small projects,