




Job Summary: Internship in the Virtual Channels area of the B2C Commercial Directorate to develop knowledge in data engineering and analytics applied to digital environments. Key Highlights: 1. Experience in data management and analysis within a digital business environment. 2. Development of competencies in data analytics and information architecture. 3. Mentorship with experts in data engineering and data management. ENDESA ENERGÍA, S.A. **Madrid** (Madrid) T/2026/49581 What does the company offer? * **1** internship position at ENDESA ENERGÍA, S.A., lasting **6 months**, starting in **March 2026** * Monthly gross stipend of **600,00€** * 6 hours per day * START Program * Internship location in Spain: Calle Ribera del Loira, 60 Madrid (Madrid) What profile is the company seeking? * **University undergraduate or master’s student:** Degree in Statistics, Industrial Organization, Data Science and Engineering, Telecommunications Science and Technology, Computer Engineering – Computer Science, or Mathematics * **Language skills:** English at B2 level. * **Competencies:** Achievement orientation, teamwork, decision-making/problem-solving, ability to generate new ideas, information management. Competency Assessments As part of the selection process, you will be required to complete the following assessments: * English language test Proposed Training Plan A leading energy sector company in Spain, engaged in energy generation, marketing, distribution, and sustainable energy solutions. The organization drives the digital transformation of its commercial processes by developing digital channels to deliver more efficient and personalized services to customers. About the Area and Department The internship will take place within the **B2C Commercial Directorate**, specifically in the **Virtual Channels Area**, responsible for managing digital commercial assets used to sell energy products via online channels. The team provides technological and analytical support to optimize digital sales management through processing and analyzing data from various sources. Within this department, data infrastructures are developed, new information sources are integrated, and strategic data access is facilitated to support commercial decision-making. Training Objectives During the internship period, the student will have the opportunity to develop knowledge and skills in **data engineering and analytics applied to digital environments**, participating in training activities such as: * Learning how to **understand and manage processes for generating, organizing, and governing databases and information sources** used in digital commercial environments. * Understanding how **technological architectures and data models** are structured to manage and exploit corporate information. * Becoming familiar with **data ingestion, processing, and organization processes in datamart environments**. * Understanding the **definition of informational structures** that facilitate data analysis and decision-making. * Learning how to **integrate new data sources**, including connections with APIs and other external systems. * Developing knowledge about **data quality, traceability, and governance** within corporate environments. * Learning how information is **prepared and made available for building dashboards and analytical audiences** used by business teams. * Applying **data querying and analysis tools** in real collaborative work environments. Mentorship and Follow-up The intern will benefit from a **structured training support process**: * Assignment of a team mentor experienced in **data engineering and data management**. * Initial definition of **learning objectives aligned with the academic profile**. * Periodic progress monitoring and resolution of technical or methodological questions. * Receiving **continuous formative feedback** to reinforce development of analytical and digital competencies. Candidate Profile **Compatible university degrees** * Degree in Mathematics * Degree in Computer Engineering * Degree in Statistics * Degree in Data Science and Engineering * Degree in Telecommunications Engineering * Degree in Industrial Engineering **Knowledge and skills that can be developed or contributed** * Basic knowledge of **SQL and Python** for data analysis and processing. * Interest in **data processing tools** (databases, ETL, object-oriented storage, etc.). * Basic proficiency in **Microsoft Office (Word, Excel, PowerPoint)** and Outlook. * Ability to **analyze and solve problems**. * Interest in the **digital environment and data analytics**. * Skills in **teamwork, virtual communication, and networking**. * Sensitivity towards **data security and responsible information management**. **Languages** * English at B2 level. **Valued knowledge** * Postgraduate or master’s education in **digital fields or data analytics**. * Interest in or basic knowledge of **digital platforms and online advertising ecosystems (Google, Meta, etc.)**. Training Value This internship will enable students to **gain experience in data management and analysis within a digital business environment**, understanding how data engineering supports decision-making in online sales channels. Throughout the program, the intern will **develop competencies in data analytics, information architecture, and digital transformation**, applying knowledge acquired during university studies in a real-world technological innovation context. ✅ **Regulatory Compliance Note:** The offer has been drafted with a training focus in accordance with **Royal Decree 592/2014**, prioritizing learning objectives, mentorship, and competency development. Certain operational details (e.g., stipend amount or exact duration) must be confirmed to fully validate alignment with the internship program.


