VIE - Data Scientist (H/F)

About ENGIE and Supply & Energy Management: 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! Context To support the development of its Energy Management & Trading platform in India, we are looking for a Data & Analytics Engineer to join our growing Energy Management team. This role plays a key part in building intelligent automation solutions, decision-support tools, and robust data infrastructures for energy trading and management activities. Your Mission As a Data & Analytics Engineer, you will contribute to the design, implementation, and operation of data-driven solutions supporting trading and energy management activities. You may occasionally be requested to perform duties outside the listed scope, depending on business needs. Key Responsibilities Automation & Data Processes - Automate data collection, ingestion, and transformation pipelines - Ensure timely and reliable delivery of market and operational data - Monitor and validate data flows (data quality, alerts, reliability) - Work closely with IT to supervise pipelines and ensure proper implementation - Act as a bridge between the Trading team and IT, providing hands-on support when needed Visualization & Tools - Build dashboards and monitoring tools using Grafana or Python-based solutions - Provide clear and actionable visual insights on market data, forecasts, and performance - Develop user-friendly tools for traders and analysts Modelling Support - Support the implementation and monitoring of forecasting models - Contribute to improving model outputs and their integration into operational tools Digital Innovation - Identify opportunities for digital automation across departments - Prototype and test new digital tools and AI applications - Stay up to date with emerging technologies in AI, automation, and data engineering Collaboration & Documentation - Work closely with cross-functional teams (IS, data scientists, analysts, business stakeholders) across Europe and Singapore - Translate business requirements into technical solutions - Document processes, models, and system architectures

What We Are Looking For A technically skilled and proactive Data & Analytics Engineer with a strong interest in digital transformation, automation, and data-driven decision-making in energy markets. Hard Skills Must have: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field Strong hands-on experience with Python for data processing (pandas, numpy, scripting) Experience building and maintaining data pipelines (API ingestion, transformation, scheduling) Solid knowledge of SQL and data modelling (time series, structured datasets) Experience with workflow orchestration tools (e.g. Apache Airflow) Familiarity with cloud environments (e.g. AWS: S3, Lambda, EC2 or equivalent) Experience with data visualization and monitoring tools (e.g. Grafana or Python-based dashboards) Nice to have: Familiarity with machine learning libraries (e.g. scikit-learn) Experience monitoring and troubleshooting data pipelines in production Understanding of end-to-end data flow architectures (ingestion → processing → storage → visualization) Soft Skills Resourceful, curious, and eager to learn in a fast-evolving digital environment Strong problem-solving mindset with a results-driven approach Strong analytical and critical thinking skills, with the ability to propose pragmatic business solutions Well-organized, dependable, proactive, and able to follow through on commitments Strong work ethic Ability to multitask and meet deadlines Self-organized with strong organizational skills Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field

ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation. ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years. 3,300 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization. Our +120,00 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike. Our 4 expertise: • Asset management • Energy transition services • Energy supply & global commodities • Risk management & market access At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.