We are EDP, a integral energy company present in around 29 markets with a particular emphasis on renewable energies. With more than 45 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow.

The mission of Operational Data Office and Reporting area is to ensure the EDPR Corporate Operational Reporting and KPI generation and the management of the Operational Data and Reporting solutions to grant the standardization, governance, quality and optimization of the data and reporting processes to add value to the business.

Operational Data Office main accountabilities:

Management of the Interstellar Datahub Solution, ensuring the internalization of the functional maintenance and evolution activities of EDPR's operational data solutions.

Ensure the design, development, engineering, evolution and technical ownership of the Operational Interstellar datahub and cloud-based operational data platform.

Coordination with Operational Reporting Solution, ensuring the alignment with the data model and available information in Interstellar Datahub Solution.

Grant an efficient interface and interaction with the rest of Dispatch Center areas, as well as with other EDPR areas and stakeholders which are relevant for the Operational Data Office and Reporting area activities and responsibilities.

This role provides the leadership required for the development, engineering, and evolution of EDPR's Operational Data Platform, combining expertise in Data Engineering, cloud technologies, data architecture, automation,



and software development to support critical business capabilities.

Main responsibilities:

- Own the end-to-end management, governance, and continuous evolution of the Operational Interstellar Datahub, ensuring its availability, reliability, scalability, and alignment with business objectives.
- Design, implement, maintain, and optimize data models, tables, views, and data structures within the Databricks environment to support operational and analytical use cases.
- Develop, maintain, and enhance ETL/ELT pipelines and data integration processes for incorporating new operational systems, business assets, and external data sources.
- Develop and maintain technical mechanisms supporting data quality monitoring and validation.
- Develop, maintain, and optimize code, scripts, stored procedures, notebooks, and automated routines supporting data processing, reporting, and operational workflows.
- Design and implement reusable data services, business logic, and automated processes that enable efficient generation of reports, operational views, KPIs, and business insights.
- Create, maintain, and continuously improve dashboards, reports, and visualization solutions to support internal operations, customer reporting, and management decision-making.
- Collaborate closely with business stakeholders to understand operational requirements, identify opportunities for automation,



and translate business needs into scalable and sustainable data solutions.
- Work alongside technical teams to ensure seamless integration between operational systems, cloud platforms, and Interstellar DataHub architecture.
- Monitor platform performance and proactively identify opportunities to optimize data models, queries, pipelines, workflows, and system resources.
- Manage the lifecycle of data assets, ensuring version control, traceability, consistency, security, and compliance with internal data governance standards.
- Define and maintain technical documentation, data dictionaries, architecture diagrams, operational procedures, and development standards to ensure maintainability and knowledge sharing.
- Support incident analysis, troubleshooting, root cause investigation, and implementation of corrective and preventive actions related to data processes and platform operations.
- Evaluate and implement new technologies, methodologies, and best practices to continuously improve the Operational Interstellar DataHub architecture, capabilities, and efficiency.
- Drive automation initiatives that reduce manual effort, improve operational efficiency, and increase the reliability of recurring business processes.
- Act as the primary technical owner of the Operational Interstellar DataHub, ensuring its long-term sustainability, continuous enhancement, and alignment with evolving business and operational requirements.

Platform Engineering & Architecture

- Define and maintain the technical roadmap of the Operational Interstellar DataHub.
- Design scalable cloud-native architectures.
- Maintain CI/CD processes and deployment pipelines.
- Ensure p

📌 Operational Data Office Senior Specialist (Chamartín)
🏢 EDP
📍 Chamartín