Location: Spain (Hybrid)
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).
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.
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 (Comunidad de Madrid)
🏢 Capgemini
📍 Comunidad de Madrid