Energy Data Portfolio Intern

TotalEnergies Group; Genf; Hybrid; CHF 25,000 - 40,000; Full time

Job summary

TotalEnergies Group in Geneva seeks an Energy Data Portfolio Intern to support the French Renewable Scope data monitoring, handling data from solar, hydro and wind production sites.

You will work with Python, Databricks, PowerQuery and Power BI to collect, validate and expose KPIs, collaborate with Front, Middle and Back Office, and contribute to Guarantees of Origin issuance while migrating to next‑gen tools.

Qualifications

• Engineering or Finance background preferred.
• Solid programming skills: Python, Excel; PowerQuery; PowerBI; Databricks is an asset.
• Strong analytical mindset, attention to detail, and problem-solving ability.
• Collaborative team player who works with internal teams, partners and external stakeholders.
• Proactive, well-organised, capable of working independently.
• Fluency in English is required; proficiency in a second language (French, Spanish, German or Italian) is an asset.

Responsibilities

• Collecting volumetric power data from multiple external and internal sources via APIs and retrieving any missing volumes.
• Ensuring data consistency by comparing current data with historical records and other sources while building coherence checks to identify anomalies.
• Injecting validated data into the internal database and producing KPIs to ensure data quality.
• Maintaining and executing operational tasks, developing new controls to improve data reliability, and contributing to Guarantees of Origin issuance.

Skills

Python

Excel

PowerQuery

PowerBI

Databricks

Data analysis

Attention to detail

Education

Engineering or Finance background

Tools

Databricks

Job description

Trading & Shipping (T&S) is the trading arm of TotalEnergies for crude oil, refined products, biofuels and paper derivatives. With around 1,000 employees, T&S operates from Geneva, Houston, Singapore, Dubai, Athens and Paris, ensuring the daily supply of refineries and distribution networks worldwide. In energy markets, T&S creates value through fair value assessment of flows, sourcing the best products for customers, and managing operational, financial, regulatory and HSE risks. As logistics and safety professionals, teams operate across the entire energy supply chain in fast-moving markets shaped by geopolitical and economic factors, requiring constant adaptation.

This is a unique opportunity to work at the heart of a growing, purpose-led trading organization, with real exposure to the European power market.

As an Energy Data Portfolio Intern, you will work closely with the Energy Data Management team members, and focus on the French Renewable Scope, which includes a very large number of production sites (solar, hydro, and wind) to monitor.

Over the past years, the team has automated most of its processes using Python, Databricks, PowerQuery, and Power BI. The operational tasks of the EDM team involve:

• Collecting volumetric power data from multiple external and internal sources via APIs and retrieving any missing volumes.
• Ensuring data consistency by comparing current data with historical records and other sources but also by building some coherence checks to identify anomalies.
• Injecting validated data into the internal database and producing key performance indicators (KPIs) to ensure data quality.

Your primary responsibilities will include maintaining and executing these operational tasks, developing new controls to improve data reliability, and contributing to the issuance of Guarantees of Origin.

This internship offers the opportunity to gain a deep understanding of the French energy market structure, collaborate with Front, Middle, and Back Office teams, and interact with external stakeholders such as RTE and Enedis. You will strengthen your programming expertise across multiple languages and actively support the migration to next-generation tools and platforms.

We are committed to meet the energy needs of a growing population and we are committed to the energy transition. The volatility of the energy trading markets requires excellence in risk management and a culture of innovation. We are fully embracing the digital revolution.

Our people flourish in an environment that promotes expertise, entrepreneurship spirit, agility and a purpose-driven culture, generating boundless opportunities to learn, grow and achieve collaborative success.

Reinforcing the competencies of our people is a key pillar of our culture: we train our people to ensure their development, and we pledge to encourage safety in all our actions.

We look for passion, ambition and open-mindedness. While we evolve in a demanding industry that requests to be always on the edge, we cultivate a friendly workplace where our people feel good, where team spirit and respect guide our daily routine, where the diversity of our people and their skills create a nourishing experience for all of us.

• Educational standard required: Engineering or Finance background preferred.
• Solid programming skills: Python experience required, proficiency in Excel, knowledge in PowerQuery, PowerBI, Databricks is an asset
• Strong analytical mindset, attention to detail, and problem-solving ability
• Collaborative team player who works well with internal team(s), partners and external stakeholders.
• Proactive and well-organised, capable of working independently.
• Fluency in English is required; proficiency in a second language (French, Spanish, German or Italian) is an asset.

Additional Information

The team acts as the direct liaison to market system operators, ensuring continuous data collection from various sources. The team is responsible for comparing volumes, performing controls and analysis, and cleaning the data. This enables seamless and flexible access to accurate and robust data, which is then shared with both internal and external stakeholders. The Energy Data Management team collaborates with relevant departments to ensure the accuracy of volumetric data when implementing it into the trading system and reviews the robustness of all internal systems related to this data.