At a Glance
- Tasks: Identify and win security opportunities in the data centre sector across the UK.
- Company: BauWatch Group, a leader in security solutions with a focus on growth.
- Benefits: Competitive salary, performance bonuses, and opportunities for professional development.
- Other info: Collaborative environment with strong support from the country sales team.
- Why this job: Join a dynamic team and make a real impact in the growing data centre market.
- Qualifications: Experience in sales and knowledge of the data centre industry preferred.
The predicted salary is between 42750 - 52250 £ per year.
Bau Watch Group is seeking a Sector Expert – Data Centres to grow our UK footprint.
You will identify and win security opportunities with end users, operators, asset owners, contractors, developers and facilities managers, building a robust sales pipeline and meeting revenue targets.
This hands-on role requires regular customer meetings, prospecting, and close collaboration with the country sales team and European Sector Lead.
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Data Centre Sector Expert (UK) — Growth & Wins in Northampton employer: BauWatch Group
BauWatch Group is an excellent employer, offering a dynamic work environment in York and North Yorkshire where safety and customer service are paramount. Employees benefit from competitive salaries, overtime pay, and a sign-on bonus, alongside opportunities for professional growth and development within the company. Join us to be part of a supportive team that values your contributions and fosters a culture of excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Centre Sector Expert (UK) — Growth & Wins in Northampton
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We think you need these skills to ace Data Centre Sector Expert (UK) — Growth & Wins in Northampton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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