Pricing and Supply Portfolio Manager

About ENGIE and Supply & Energy Management (S&EM) :

ENGIE, a global leader in low-carbon energy and services, relies on its Global Business Unit  Supply & Energy Management (GBU S&EM) to provide reliable, sustainable, and affordable energy to all its customers. This strategic unit  optimizes the Group’s and clients’ production assets and designs tailored energy solutions for our 200,000 professional clients and 15 million consumers.

The Global Business Unit Supply & Energy Management leverages ENGIE’s assets to deliver secure and sustainable energy to its B2B and B2C customers. It uses its  expertise in energy management to provide decarbonized electricity 24/7.

Joining  Supply & Energy Management means becoming part of a team of over 10,000 passionate experts spread across 20 countries, all united by a shared mission: shaping a greener and more efficient energy future. Together, we push the boundaries of innovation to deliver decarbonized energy 24/7. Join us and be part of those shaping the energy of tomorrow!

About S&EM Iberia

Supply & Energy Management Iberia (“S&EM Iberia”) is a local Business Platform (BP) of ENGIE S&EM Global Business Unit. The Business Platform is active across Energy Management (Asset Optimization and Trading) and Client’s businesses (Wholesale and B2B), with presence in Spain (mature footprint) and Portugal (under development). The entity is composed of 90 highly skilled energy professionals from 12 nationalities, with  a solid expertise in Iberian power and gas markets. In 2024, S&EM Iberia provided integrated Energy Management services (short  to long term) for ENGIE’s 7.7GW renewables and low-carbon generation asset base in the region (hydro, wind, solar, CCGTs).

Context:

In this  position you will be part of Supply Portfolio Management. Supply Portfolio Management (SPM) encompasses the key activities  required to  optimize and manage an energy supply portfolio. This includes  forecasting of energy consumption, pricing strategies, grid data acquisition and analysis, and ensuring  accurate portfolio representation on energy markets.

SPM also involves collaboration with central teams to support local or global projects, harmonize methodologies, and share best practices. The role fosters strong connections with other supply entities to address  common challenges , improve performance, and align organizational approaches.

Role:

The Pricing Analyst plays a key role in supporting commercial decision-making by developing  customer s pricing models , portfolio valuation, and risk insights for the company’s power and gas supply activities. Working at the intersection of trading, risk, and sales, the analyst ensures that pricing reflects market conditions, risk-adjusted margins, and compliance with internal governance.

You will analyze wholesale markets,  optimize supply costs, and support offers for B2B and industrial customers, contributing directly to portfolio profitability and competitive positioning.

Key Responsibilities

• Develop and maintain pricing models for B2B and industrial clients across electricity and gas portfolios.

• Integrate wholesale forward curves, shaping costs, imbalance charges, and hedging premiums into retail pricing.

• Support the structuring and valuation of complex offers (flexible contracts, indexed formulas, multi-site deals).

• Monitor portfolio performance, providing analysis on margin evolution, volume deviation, and risk exposure.

• Develop automation tools and dashboards (Python, Power BI, Dataiku, or similar) to streamline pricing workflows and reporting.

• Prepare presentations and insights for management regarding market trends, cost evolution, and portfolio profitability.

Hard skills :

• Must have:

• Strong analytical skills

• Knowledge of Power B I , Python,  Excel,  or other data analysis tools

• Knowledge of energy markets, pricing  mechanisms or risk management. 

• Good to have:

• Experience with other data visualization and analysis tools ( similar to Power Bi,  i.e. Dataiku) .

• Familiarity with machine learning algorithms and techniques

Soft skills :

• Strong problem-solving skills and attention to detail

• Able to translate complex data into actionable insights for commercial teams.

• Excellent communication skills.

• Spanish and English fluency required (French is a plus).

• Ability to work in a collaborative environment.  

Education and professional background :

• Degree in Engineering, Mathematics, Economics, Finance, or related quantitative field.

• Experience with data analysis and visualization techniques and tools.