We are seeking an experienced Data Engineer with 5+ years of expertise in building scalable data architectures and AI-driven automation systems.

Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.

In this role, you will design and optimize high-performance data pipelines (ETL/ELT) for structured and unstructured data, including sensor and image data, while collaborating closely with data scientists and engineering teams to support advanced analytics and AI initiatives.Your RoleKey responsibilities in your new roleDefine and optimize data structures and architectures to ensure availability, accessibility, and performanceDesign and implement scalable data pipelines (ETL/ELT) to process structured and unstructured data (e.g., sensor and image data)Collaborate closely with data scientists, business analysts,



and engineering teams in AI and advanced analytics projectsTranslate business requirements into technical solutions for data management and processingDrive innovation by introducing new technologies and improving data architectureDesign, implement, and operationalize agentic workflows and AI orchestration systems (e.g., MCP, multi-agent systems, autonomous pipelines) to enable scalable intelligent automationLead and contribute to cross-site digitalization and data initiativesYour ProfileQualifications and skills to help you succeedMin.

5+ years of experience in data engineering, big data, or a related fieldMin.

Master / Bachelor Degree in Computer Science / Data Science or equivalentsProven experience building and maintaining scalable data pipelines and production data systemsStrong hands-on experience with Python (Pandas, NumPy) and SQL in real-world projectsExperience working with relational and NoSQL databases and modern data architecturePractical experience collaborating in cross-functional AI/data science teamsProven hands-on experience with agentic workflows and AI orche

📌 Senior / Staff data Engineer (Agentic AI) (España)
🏢 The BIG Jobsite
📍 España