Data Centre Engineering Manager - 24/7 In-House Ops

Data Centre Engineering Manager - 24/7 In-House Ops

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Phoenix Resourcing Services

At a Glance

  • Tasks: Lead a team to ensure the safe operation of critical data centre infrastructure.
  • Company: Central London data centre with a focus on innovation and reliability.
  • Benefits: Competitive salary, career growth, and a dynamic work environment.
  • Other info: Work in a 24/7 environment with a dedicated team of professionals.
  • Why this job: Join a vital role in keeping technology running smoothly and safely.
  • Qualifications: Engineering management experience in data centres or similar facilities required.

The predicted salary is between 60000 - 80000 £ per year.

Data Centre Operator in Central London seeks a Data Centre Engineering Manager to lead a four‑engineer M&E team, ensuring safe, reliable operation of critical mechanical and electrical infrastructure. The role reports to the on‑site Operations Manager and focuses on performance, safety, and incident response.

The candidate should have engineering management experience within data centres or similar 24/7 facilities, HVAP capability, and a strong background in electrical/mechanical systems.

Data Centre Engineering Manager - 24/7 In-House Ops employer: Phoenix Resourcing Services

Join a prestigious global bank in the heart of Canary Wharf, where you will thrive in a dynamic and supportive work culture. Enjoy a stable Monday to Friday schedule with competitive pay, while taking ownership of vital operational functions that contribute to the bank's success. With opportunities for professional growth and a focus on teamwork, this role offers a rewarding career path in a leading financial institution.

Phoenix Resourcing Services

Contact Details:

Phoenix Resourcing Services Recruitment Team

We think you need these skills to ace Data Centre Engineering Manager - 24/7 In-House Ops

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