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Power Factors

Cloud-based asset performance management for renewables

Controls & Grid Integration Engineer

Controls & Automation EngineeringConfirmed live in the last 24 hours
Full-timeAthens, GreeceNo salary listed

About the Job

Requirements

  • Bachelor's degree in Electrical Engineering, Control Systems, or a related field.
  • Strong understanding of power plant operations, particularly in renewable energy.
  • Experience with SCADA systems, control algorithms, and performance analytics.
  • Proficiency in programming languages relevant to control systems, such as Python or C++.
  • Familiarity with communication protocols used in renewable energy systems, such as Modbus and DNP3.
  • Ability to analyze complex data sets and derive actionable insights to inform decisions.

Responsibilities

  • Design, implement, and optimize Power Plant Control systems for renewable energy assets.
  • Collaborate with cross-functional teams to integrate advanced control strategies into Unity REMS.
  • Monitor and analyze power plant performance to enhance efficiency and reliability.
  • Troubleshoot and resolve control system issues to minimize downtime and ensure operational excellence.
  • Develop and maintain documentation for control system configurations and updates.
  • Participate in the testing and commissioning of new control technologies and upgrades.
  • Stay current with industry trends and technologies to proactively improve Power Plant Control methodologies.

About the Company

Power Factors

Cloud-based asset performance management for renewables

Power Factors provides a cloud-based SaaS platform for the renewable energy sector that helps asset owners, operators, and independent power producers optimize large portfolios of wind, solar, and energy storage assets. Its Unity energy management suite unifies monitoring, analytics, field service management, and commercial asset management into one platform that collects data from many sources to support remote asset management. The platform uses SCADA data, AI-based predictive analytics, and automated workflows built on OSIsoft PI and Microsoft Azure to improve revenue and reduce manual tasks. It differentiates itself by merging multiple capabilities from a series of acquisitions into a single integrated system at scale, and its goal is to maximize financial and physical performance while expanding global adoption.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Larkspur, CA
Founded
2012

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