At a Glance
- Tasks: Support a flagship data centre project by producing dashboards and analysing performance data.
- Company: Walker & Sloan, a leader in innovative data centre development.
- Benefits: Training opportunities, career progression, and a dynamic work environment.
- Other info: Join a collaborative team focused on delivering cutting-edge projects.
- Why this job: Combine technology and construction to make a real impact in a fast-paced setting.
- Qualifications: Experience in project controls and proficiency in Power BI.
The predicted salary is between 40500 - 49500 £ per year.
Walker & Sloan are recruiting a Project Controls Engineer to support a flagship data centre development in Acton.
You will work with Project Managers and Commercial Teams to maintain controls, produce dashboards and reports, and analyse performance data to guide delivery.
The role emphasizes combining technology, data, and construction within a fast-paced project environment, with opportunities for training and career progression.
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Data Centre Project Controls Engineer: Power BI & Reporting employer: Bimplus
Bimplus in London is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. With a strong focus on employee growth, we provide ample opportunities for professional development, including support for MRICS progression. Our commitment to a diverse range of projects ensures that every day brings new challenges and rewards, making it a fulfilling place to advance your career.
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We think this is how you could land Data Centre Project Controls Engineer: Power BI & Reporting
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We think you need these skills to ace Data Centre Project Controls Engineer: Power BI & Reporting
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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✨Brush Up on Your Statistics
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