Wind Domain O&M Engineer

Full Description

As a Wind Domain O&M Engineer, you will be responsible for the operation and maintenance of Univers’ wind energy applications, ensuring their reliability, efficiency, and performance.

You will work with data-driven insights to optimize wind power management, enhance software and platform stability, and support the integration of digital solutions for wind farm operations.

This role involves closecollaboration with engineering, data analytics, and operations teams to develop and implement innovative strategies for wind energy optimization.

Responsibilities:

• Oversee the operation and maintenance of wind energy applications, ensuring

high availability and performance.

• Analyze wind farm operational data to detect anomalies, optimize

performance, and support predictive maintenance strategies.

• Collaborate with software and data engineering teams to enhance SCADA

systems, data analytics platforms, and digital wind energy solutions.

• Provide technical support and troubleshooting for wind energy software

applications and platforms.

• Ensure compliance with industry regulations, cybersecurity standards, and

data integrity best practices.

• Develop and maintain documentation related to system architecture,

workflows, and operational procedures.

• Assist in the deployment of new technologies and features that improve wind

energy management and decision-making.

Requirements:

• Bachelor's degree or above in Electrical Engineering, Computer Science,

Renewable Energy, or related fields.

• 3+ years of experience in wind energy operations, SCADA systems, or

software-based wind farm management.

• Strong understanding of wind farm data analytics, predictive maintenance,

and performance optimization.

• Familiarity with SCADA systems and data acquisition for wind energy

applications.

• Experience working with cloud-based platforms, IoT technologies, and digital

twins in the wind energy sector.

• Knowledge of industry standards and best practices related to wind energy

data management.

• Strong analytical and problem-solving skills with a data-driven approach.

• Excellent teamwork and communication skills, with the ability to collaborate

across technical and business teams.

Preferred Qualifications:

• Experience with machine learning or AI-based analytics for wind power

optimization.

• Familiarity with scripting languages (Python, SQL, or similar) for data analysis

and automation.

• Understanding of grid integration, power forecasting, and energy market

dynamics.

• Hands-on experience with cloud services (Azure, AWS, GCP) for wind energy

applications.