ENGIE - International Supply & Energy Management

gems.engie.com

2 Jobs

1,470 Employees

About the Company

ENGIE supports global businesses in their decarbonization journey through reliable, flexible, and affordable energy solutions. The energy transition becomes tangible, scalable, and impactful by connecting clients to energy assets via global markets and local operations.
Through long-term supply, risk and flexibility management, and sustainable energy services, ENGIE helps clients navigate complex markets, reduce emissions, and secure their energy future -- leveraging deep market expertise and an extensive international footprint.

Key figures - International Supply & Energy Management perimeter:
* 500 TWh of energy delivered annually
* 59 GW of renewable & flexible assets managed
* 200,000+ global business clients
* 4.3 GW of green PPAs signed
* 250 LNG cargoes handled per year
* 19 offices around the world

Our commitments
* Deliver 24/7 carbon-free electricity for global business needs
* Help businesses manage energy risks and market exposure
* Enable smarter energy systems through data, digital tools, and expertise

Listed Jobs

Company Name: ENGIE - International Supply & Energy Management
Job Title: Data Engineer
Job Description: Job Title: Data Engineer Role Summary: Design, develop, and maintain large‑scale data pipelines and data architecture for energy analytics. Ensure data availability, quality, and performance while collaborating with data scientists, business, and IT teams. Deploy solutions on cloud platforms (AWS, Azure, GCP) and optimize processing with big‑data frameworks (Spark, Databricks). Expactations: * Deliver robust, scalable pipelines that support real‑time and historical asset data analysis. * Maintain high data quality and governance standards. * Resolve incidents swiftly and implement continuous improvements. * Adapt pipeline designs to evolving data scientist requirements. * Uphold coding standards, documentation, and CI/CD practices. Key Responsibilities: * Architect and implement ETL/ELT processes using Python, SQL, Spark, and Databricks. * Configure and manage cloud services (AWS S3, Glue, Athena, or equivalents). * Build and optimize data warehouses, ensuring performance and reliability. * Collaborate with data scientists to translate analytical needs into technical solutions. * Monitor production pipelines, troubleshoot issues, and conduct root‑cause analysis. * Apply DevOps principles: Infrastructure as Code, CI/CD, and automated testing. * Participate in Agile ceremonies and sprint planning. * Enforce data governance and security best practices. Required Skills: * Strong programming in Python and SQL. * Experience with Spark and Databricks. * Proven knowledge of ETL tools and pipeline orchestration. * Cloud proficiency (AWS, Azure, or GCP) – S3, Glue, Athena, etc. * Data warehousing concepts and best practices. * DevOps, IaC, CI/CD fundamentals. * Agile methodology and team collaboration. * Analytical problem‑solving and detail orientation. * Excellent communication in English; French required. Required Education & Certifications: * Master’s degree in engineering or equivalent with IT focus. * Minimum 3 years of professional experience designing and maintaining data pipelines. * Demonstrated proficiency in big‑data and cloud technologies. ---

Brussels, Belgium

On site

28-11-2025

Company Name: ENGIE - International Supply & Energy Management
Job Title: Intern - Trader Assistant
Job Description: Job Title: Intern – Trader Assistant Role Summary: Assist the Exotic Gas Trading Desk by developing and improving ML‑based trading signal tools, managing data pipelines, extracting new features, and designing models to enhance risk management and market access strategies. Expactations: Deliver measurable improvements to signal quality and volatility modeling, support the team with data engineering and ML expertise, and communicate findings to quantitative stakeholders. Key Responsibilities: - Build, maintain, and optimize data pipelines for trading signal research. - Extract financial features and engineer new variables from market data. - Design, implement, and validate ML models for signal generation and volatility forecasting. - Explore and evaluate new trading signals in European gas markets (e.g., TTF). - Integrate advanced open‑source tools and environments into existing workflows. - Present model outputs and insights to quantitative team members. - Support risk management processes for Engie’s gas supply contracts. Required Skills: - Strong Python programming skills. - Knowledge of machine learning techniques and statistical methods. - Proficiency in time‑series analysis and understanding of financial instruments (options, gas). - Solid analytical and detail‑oriented mindset. - Effective communication and synthesis of complex data. - Collaborative team player. Required Education & Certifications: - Engineering or master’s program in computer science, data science, or financial mathematics. - Demonstrated quantitative coursework or projects in ML/statistics. - Fluent in English.