Data Engineer (Databricks / Azure Data Factory) Location:

Spain (Hybrid)

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. Collaborative and inclusive work environment.

📌 Data Engineer (Madrid)
🏢 Capgemini
📍 Madrid