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Intern, Data Engineering
EDP Renewables
StagePrésentielJunior (0–2 ans)
À propos du poste
EDP Renewables is seeking an exceptional Data Engineering Intern to join our APAC platform and unlock AI-driven insights across renewable energy project delivery. In this role, you will map our comprehensive data architecture spanning solar, wind, and BESS lifecycles, develop structured data catalogues, and—most critically—identify and assess high-impact AI/ML use cases that could transform how we optimize scheduling, procurement, anomaly detection, and process automation. You will work with production-grade renewable energy datasets rarely accessible to interns, collaborating directly with senior engineering and data stakeholders to translate domain expertise into tangible ML opportunities. This is not a box-ticking internship: you will gain real AI strategy exposure, understanding how data science creates measurable value in complex industrial operations. Your work will involve exploratory data analysis, data quality assessment, and building a business-focused AI opportunity map that shapes our technology roadmap.
Vos missions
- Map end-to-end CMT data model including tables, relationships, and data flows across solar, wind, and BESS delivery lifecycle
- Develop structured data catalogue documenting field definitions, data types, quality observations, and coverage gaps
- Conduct exploratory data analysis to surface patterns, anomalies, and operational signals relevant to project performance
- Identify and document potential AI/ML use cases with feasibility assessment, data readiness evaluation, and business value estimation
- Assess data landscape for ML readiness and specify data preparation requirements for priority initiatives
- Collaborate with E&C project managers, planners, and engineers to validate insights against operational reality
Profil recherché
- Penultimate or final year undergraduate student in Data Science, Artificial Intelligence, Machine Learning, or related quantitative discipline
- Proficiency in SQL with ability to write non-trivial queries against relational databases
- Python for data analysis including pandas, numpy, matplotlib/seaborn or equivalent libraries
- Familiarity with data engineering concepts: schemas, ETL pipelines, data lineage
- Exposure to ML workflows including feature engineering, model evaluation, supervised/unsupervised methods
- Intellectually curious with ability to scope unstructured problems independently
- Clear communication skills to translate technical findings for non-technical stakeholders
- Detail-oriented approach to data quality and documentation
Un plus si vous avez
- Experience with cloud data platforms or datalake environments
- Prior exposure to energy, infrastructure, or construction project data
- Experience with data cataloguing tools such as DataHub, Atlan, or structured Confluence documentation
- Familiarity with BI tools including Power BI or Tableau for exploratory visualization
Compétences clés
Data EngineeringPythonSQLMachine LearningData ArchitectureRenewable EnergyETLAI/ML Strategy
À propos de EDP Renewables
EDP Renewables
Éolien, Solaire, Hydraulique
1 001 – 5 000 employésOeiras, Portugal
EDP Renewables (EDPR) est la filiale renouvelables du groupe énergétique portugais EDP. Avec plus de 4 500 collaborateurs et plus de 25 GW de capacités en opération dans le monde, EDPR est l'un des principaux producteurs d'énergie renouvelable au niveau mondial. L'entreprise opère des parcs éoliens, solaires et hydrauliques au Portugal, en Espagne, aux États-Unis, au Brésil, en France et en Pologne, et figure parmi les leaders de l'éolien offshore européen.