Renewables Performance Data Intern

Edp Renovaveis Servicios Financieros SA; Aragón; On-site; EUR 8,900 - 13,000; Full time

Job summary

Edp Renovaveis Servicios Financieros SA is seeking a Performance Management Intern in Aragón, Spain. The role focuses on data quality, performance analysis of wind and solar assets, and ad-hoc data extraction using SQL and Azure ecosystems.

The ideal candidate is a technical student in engineering with interests in renewables and strong English proficiency, ready to support AI initiatives and develop data-driven insights within a global energy company.

Qualifications

• Student in Industrial, Energy, Electrical or Computer Engineering or related field.
• Interest in renewables or a Master’s in renewable energy preferred.
• Spanish native and English B2 minimum, written and spoken.
• Programming experience in SQL, Python, or R preferred.
• Experience with big data analytics and cloud platforms is desirable (Azure, Data bricks).
• Knowledge of Power BI and Tableau.
• Understanding of Microsoft products/add-ins.

Responsibilities

• Ensure quality control of performance datasets against original sources.
• Analyze wind and solar site operation and asset performance vs expectations.
• Manage detected items to track resolution and value.
• Write basic ad-hoc queries in SQL, PI and Azure databases for analysis.
• Contribute to AI development activities.

Skills

SQL

Python

R

Power BI

Tableau

Azure

Data bricks

Education

Industrial/Energy/Electrical/Computer Eng student

Master's in renewable energy (solar, wind, BESS)

Tools

Azure Databricks

Power BI

Tableau

Microsoft Office

Job description

Edp Renovaveis Servicios Financieros SA is seeking a Performance Management Intern in Aragón, Spain. The role focuses on data quality, performance analysis of wind and solar assets, and ad-hoc data extraction using SQL and Azure ecosystems.

The ideal candidate is a technical student in engineering with interests in renewables and strong English proficiency, ready to support AI initiatives and develop data-driven insights within a global energy company.