Senior Data Engineering Lead

Country/Region: PT City: Lisbon Business Platform: 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. The Global Digital Data Arch & Engineering CoE is looking to recruit an AI and GenAI Engineer. The Senior Data Engineering Lead drives the design and the standards definition to ensure robust data pipelines and data products across EDP's ecosystem. You'll set engineering standards, automate workflows, and ensure that EDP's data is always trusted, timely, and ready for analytics and AI. What you will do: Design, develop, and maintain patterns for scalable data pipelines and integration frameworks. Lead implementation of data engineering best practices, templates, and reusable components. Collaborate with architects and domain teams to support the delivery of production-grade data products. Ensure best practices for data quality, monitoring, and observability across platforms. Promote automation and CI/CD adoption within data teams. Optimize cost and performance across hybrid cloud environments. Mentor engineers and contribute to EDP's data engineering community of practice. Employment type: Full-Time Work site: Hybrid Model What are we looking for: Degree, Master's, or Doctorate in engineering or related field. 6+ years in data engineering or platform development. Hands-on experience with Python, SQL, Spark, and ETL/ELT orchestration tools (Airflow, dbt, Data Factory). Deep knowledge of Databricks, Fabric, Snowflake, and other Azure, AWS and GCP data solutions. Experience in CI/CD, IaC, GitOps, and cloud infrastructure. Familiarity with data quality frameworks, metadata management, and observability tools. Preferred: Experience with real-time data streaming (Kafka/Event Hub), data mesh, or ML Ops; Certifications such as Azure Data Engineer or Databricks Data Engineer. Strong collaboration, problem-solving, and technical leadership skills. 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 08/12/2025 if you think you are the right fit for this opportunity. Job Segment: Database, Engineer, SQL, Technology, Engineering