Internship - Energy Market Intelligence Engineer

Settore/Area di riferimento




Numero di posizioni disponibili


Tipologia contrattuale


Retribuzione prevista

850 euro


Internship Details

Under the direction of the Sustainability De-Carbon Office Manager, the intern will be part of a team involved to cover the entire energy value chain and work interdependently to answer any “what if” scenarios based on Pirelli organization’s specific needs and to turn data into meaningful insights supporting the company to identify opportunities, mitigate risk, and validate its business strategy.
The intern will be also directly involved in the reporting of the existing Energy Performance Indicators of each production plants and in the preparation of the energy efficiency action plans.

Main responsibilities

•    Understand the major trends shaping global energy demand with specific insights on transport, industrial, buildings, and power sectors
•    Navigate complex global economic and political factors, and understand their impact on energy commodities demand, supply, and major dynamics
•    Understand the emerging technologies and business models that are steering the energy transition
•    Proactively screening and propose innovation of energy technologies to be applied in industrial processes
•    Monitoring the energy usage across the organization, mapping and continuously update the energy performances indicators (EnPI)
•    Preparing energy report to summarise consumption trend of each production plants
•    Improve the existing reporting system, developing a Digital Energy Reports to collect information from all departments involved


•    Master in Energy Engineer
•    English: fluent. Additional language: appreciated
•    Analytical skills, problem solving, strong proactivity
•    Predisposition to work in a multicultural environment
•    Motivation to learn and be involved in cross-functional teams
•    Basic experience with database management and SQL language
•    Good knowledge of Microsoft Office package (mainly Excel, PowerPoint, Word)
•    Basic knowledge in Data Analysis (Phyton, QlikSense, appreciated)