Data Centre Engineer | 24/7 Shifts | Infra & Network Ops

Data Centre Engineer | 24/7 Shifts | Infra & Network Ops

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
iCobus Limited

At a Glance

  • Tasks: Support a prestigious financial organisation by managing critical IT infrastructure.
  • Company: Join iCobus Limited, a dynamic team in Acton, West London.
  • Benefits: Competitive pay, shift flexibility, and opportunities for skill development.
  • Other info: Work in a multi-skilled role with potential for career advancement.
  • Why this job: Be part of a vital team ensuring smooth operations in a fast-paced environment.
  • Qualifications: Experience in data centres and strong communication skills required.

The predicted salary is between 35000 - 45000 £ per year.

i Cobus Limited is seeking a capable Data Centre professional to support a prestigious financial organisation from Acton, West London.

You will join a small team and work a multi‑skilled role handling installations, decommissions, changes and maintenance of critical IT infrastructure.

The role requires experience in data centres, strong communication, and the ability to work under pressure in a shift pattern.

#J-18808-Ljbffr

Data Centre Engineer | 24/7 Shifts | Infra & Network Ops employer: iCobus Limited

iCobus Limited is an excellent employer, offering a dynamic work environment in Slough where innovation meets excellence. With a strong focus on employee growth and development, team members benefit from ongoing training and the opportunity to work with cutting-edge technologies in a prestigious international financial setting. The supportive work culture promotes collaboration and ensures that every engineer plays a vital role in maintaining high standards of service delivery.

iCobus Limited

Contact Details:

iCobus Limited Recruitment Team

We think you need these skills to ace Data Centre Engineer | 24/7 Shifts | Infra & Network Ops

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