Data Engineer (Databricks / Azure Data Factory) Location: Spain (Hybrid) ¿Es este el siguiente paso en su carrera? Descubra si es el candidato adecuado leyendo la descripción completa a continuación.

Capgemini

Spain is looking for talented Data Engineers with experience in Databricks and/or Azure Data Factory (ADF) to join our growing Data & AI team.

Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT solutions. Build and optimize data processing workflows using Databricks and Azure Data Factory. Develop and enhance data transformation logic using SQL, Spark, or PySpark. Support data integration, data quality, and performance optimization initiatives. Collaborate with business and technical teams to deliver data-driven solutions. Work with cloud-based data platforms and modern data architectures.





Required Skills Hands-on experience with Databricks and/or Azure Data Factory (ADF) . Strong SQL skills.

Experience in ETL/ELT and data integration projects. Knowledge of Azure cloud services. Understanding of data warehousing concepts and data architectures. Strong analytical and problem-solving skills.

Preferred Skills Spark / PySpark.

Medallion

Architecture.

Azure Data

Lake, Synapse, or related Azure data services.

Experience working in Agile environments.

What We Offer Opportunity to work on large-scale Data & AI transformation projects. Exposure to cutting-edge cloud and analytics technologies. Continuous learning, certifications, and career growth. xbhjioe Collaborative and inclusive work environment.

📌 Senior Engineer, Data Engineering (Madrid)
🏢 Capgemini
📍 Madrid