CMS Engineer

at  SkySpecs

ABOUT SKYSPECS

SkySpecs is simplifying renewable energy asset management by offering purpose-built technologies and services that help our customers deliver industry-leading productivity, efficiency, and returns. Every day we help our customers unlock the power of their data so they can make confident, informed decisions. Our team brings deep industry experience and a willingness to get our hands dirty to first understand and then solve customer problems on the ground.
SkySpecs launched the world’s first completely autonomous blade inspection product in 2016 with a custom-designed drone system. Since then, SkySpecs has inspected over 200,000 wind turbines in over 31 countries, becoming the world leader in understanding the health of turbine blades. Identifying issues with turbine blades is only the first step. In 2019, SkySpecs launched Horizon to be a platform for SkySpecs to offer a multi-layered solution for customers that includes: data collection, wind turbine blade engineering expertise, and a place for all stakeholders to collaborate to manage and analyze massive amounts of data, spot trends, and create plans for high-cost repair campaigns. Since 2021, SkySpecs acquired three companies specializing in wind turbine drivetrain monitoring, financial management and automated turbine data analytics and fleet optimization, further expanding our offering in the market. Ultimately, this will help reduce the cost and risk of operations for the industry.

REQUIREMENTS OF THE JOB:

• +2 years of experience in the field of remote condition monitoring/vibration analysis.
• VCAT-II Vibration Analysis Category II.
• A thorough understanding of the typical drivetrain failure modes (gearbox, generator and bearing failure modes) and troubleshooting procedures incl. root cause failure analysis etc.
• Experience with vibration analysis software, vibration data acquisition systems as well as various condition monitoring techniques.
• Fluency in English and excellent communication skills.

• Monitoring and diagnosing the health condition of key wind turbine components (ie. gearboxes, main bearings, and generators) to highlight potential failures or damages before they occur.
• Continuous contact with our customers’ site operators incl. technical reporting of potential reliability conditions and follow ups on the alarms detected in connection to the technical actions applied on the site.
• Improvement of the alarm strategy and threshold configuration based on feedback from the sites.
• Collaborate with our in-house developing teams on improving our AI software platform for wind turbine predictive maintenance.
• Support the processes to transfer data and establish the monitoring setup for the onboarding of new sites to the portfolio.
• Contribute to the continuous improvement of the technical standards, processes and guidelines for monitoring vibration data