At GreenPowerMonitor&Solutions, a DNV company we combine knowledge, expertise and innovative data-driven digital solutions as our response to enable our customers to tackle the energy transition. Our purpose is to provide data-driven digital solutions to maximize the performance of renewable energy assets, optimize efficiency in the management of renewable energy portfolios and contribute to have the greenest energy mix in the grid.
Are you passionate about providing technical support to customers and turning their challenges into success stories? Can you envision yourself as the go-to expert for clients, ensuring their satisfaction at every step? Then, embrace this opportunity to work with cutting-edge technologies in the renewable energy industry. Join us as a Customer Service Engineer. Together we can drive a greener tomorrow!
What to expect?
As a Customer Service Engineer, you will act as the primary contact for our customers, providing technical support on our cloud solutions designed to monitor renewable energy assets.
Your main responsibilities will be:
- Manage the requests sent by customers about Networking, Dataloggers, Device Communications,
- Provide technical support through emails and calls to our customers,
- Implement project modifications based on customer needs,
- Create and modify electrical and single line diagram (AutoCAD),
- Manage internal documentation,
- Set-up GPM platforms (Web Portal, GPM Plus, GPM Scada and Horizon),
- Detect errors and support the improvement of QUALITY.
The team awaiting you…
You will join Cloud Solutions, where we design, develop, and operate the best-in-class cloud-based platform for renewable energy assets such as wind, solar, and storage. Our expertise lies in delivering modular digital solutions and advanced analytics enabling both our internal and external customers, and strategic partners, to seamlessly consume and produce innovative data-driven solutions and services. Our goal is to empower asset owners and managers in remote monitoring, performance assessment, predictive diagnostics, and operational optimization of their diverse renewable energy portfolio.