Delivery Consultant – Data Centre Recruitment (High-Volume) in London

Delivery Consultant – Data Centre Recruitment (High-Volume) in London

London Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
GH Engage

At a Glance

  • Tasks: Manage high-volume recruitment for top clients in the Data Centre sector.
  • Company: Join a cash-rich firm with a focus on growth and progression.
  • Benefits: Earn 40% commission on earnings over Β£20k and enjoy a supportive structure.
  • Other info: Great opportunities for career advancement in a thriving industry.
  • Why this job: Be part of a dynamic team making an impact in the tech recruitment space.
  • Qualifications: Experience in recruitment and a passion for high-volume hiring.

The predicted salary is between 30000 - 40000 Β£ per year.

GH Engage in the City Of London is seeking a Key Account Delivery Consultant specializing in technical and M&E recruitment for the Data Centre sector. This delivery-focused role involves managing multiple live roles for market-leading clients across the UK and EU.

The ideal candidate will enjoy high-volume hiring with a supportive structure, including a 40% commission on earnings over Β£20k. Join a cash-rich firm with clear growth and progression opportunities!

Delivery Consultant – Data Centre Recruitment (High-Volume) in London employer: GH Engage

GH Engage offers an exceptional work environment in the heart of the City of London, where you can thrive as a Delivery Consultant in the dynamic Data Centre recruitment sector. With a strong emphasis on employee growth, a generous commission structure, and a supportive team culture, we empower our consultants to excel in high-volume hiring while enjoying the benefits of working for a cash-rich firm that prioritises your success and career progression.

GH Engage

Contact Details:

GH Engage Recruitment Team

We think you need these skills to ace Delivery Consultant – Data Centre Recruitment (High-Volume) in London

Communication Skills
Problem-Solving Skills
Attention to Detail
Automation
Python
SQL
Data Engineering