Senior Performance Engineer

• Analyze operational and SCADA data from solar PV plants.
• Evaluate plant performance against expected energy production.
• Develop performance models and predictive analytics solutions.
• Identify energy losses, equipment issues, and underperformance drivers.
• Calculate key performance metrics including PR, availability, and energy performance indicators.
• Collaborate with Asset Management, O&M, Data Science, and Software teams.
• Support automation of reporting and analytics using modern programming tools and AI-enabled workflows.

• 5+ years of experience in solar PV performance engineering, asset management, or performance analytics.
• Strong experience with PVsyst and photovoltaic performance modeling.
• Experience analyzing SCADA and time-series operational data.
• Strong Python and SQL skills.
• Knowledge of solar plant KPIs, energy losses, and performance testing.
• Experience with Power BI, Tableau, or similar analytics platforms.
• Strong understanding of PV systems, inverters, trackers, and solar operations.
• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
• pvlib, NREL SAM.
• Machine Learning.
• AWS or Azure.
• ASTM / IEC performance testing.
• CMMS platforms such as Fiix, Maximo, or Sitetracker
• PMP certification

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards
• Specific benefits are determined by the employment type and location.