Data & Automation Engineer

We are EDP, a global 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.

What you will do:

We are building the next generation of intelligent automation in B2C segment combining data, AI and automation to redesign how business processes work end-to-end. This is not a traditional BI or RPA role. You will work hands-on with Generative AI, machine learning and data pipelines to create real, production-ready solutions that impact thousands of customers.

Applied AI & Machine Learning

•            Design and implement GenAI-powered solutions

•            Work with LLMs, prompt engineering and modern AI frameworks

•            Develop ML models to optimize and automate business processes

Data & Analytics Engineering

•            Build end-to-end data pipelines (ETL/ELT) using multiple data sources

•            Deliver actionable insights and tools to improve operational efficiency

•            Develop data-driven applications for the B2C segment

Automation & Process Innovation

•            Design end-to-end automations integrating AI, data and business systems

•            Develop solutions using tools like chatbots, APIs and workflow automation

Collaboration & Impact

•            Work directly with business teams to identify high-impact use cases

•            Translate real-world problems into scalable technical solutions

•            Ensure solutions are usable, maintainable and adopted

Employment type: Full-Time

Work site: Hybrid Model

What are we looking for

• 3–5 years of experience in Data, AI or Software Engineering
• Degree or master’s on technological areas such as: Electrical and computer engineering, Applied Mathematics and Computation, Computer engineering, Data Science other degrees relevant to the role.
• Strong programming skills in Python and SQL
• Experience with data platforms (Azure, Databricks)
• Solid understanding of data pipelines and analytics
• Interest or experience in Generative AI (LLMs, embeddings, prompt engineering)

Nice to have:

• Power BI / Domo
• RPA tools (e.g. UiPath)
• Experience working in Agile teams

More than academic knowledge and technical skills, we are looking for ambitious people who are enthusiastic about the future and who bring human skills aligned with our purpose.

Equal opportunities for all

Our vision is that each person combines their unique characteristics and experiences to fulfill our mission of creating new energy for the planet. We are an inclusive employer, ensuring all candidates are treated fairly throughout the recruitment process. We welcome and value all people, and we are committed to fostering a sense of belonging for each person who is part of the EDP group.

Need more reasonsto apply?

As a top employer we:

• Empower our employees through a positive and innovative work environment that promotes collaboration and agile decision-making;
• Respect and value each person, providing a flexible, healthy, and inclusive workplace with a range of attractive benefits;
• Provide a meaningful work experience and prepare our people for future challenges through different opportunities for development and internal mobility;

Our efforts have resulted in several distinctions over time, highlighting the EDP group's strong positioning and its dedication and commitment to attracting and retaining the best talent:

• Top employer certification by Top Employers Institute
• Part of the Bloomberg Gender-Equality Index
• Global certification as a family-responsible company by Fundación Másfamília
• Top 100 Workplaces by Houston Chronicle

Discover our tips to enhance your performance during the recruitment process and apply until 23/04/2026 if you think you are the right fit for this opportunity.