Location: Spain (Hybrid)

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Key Responsibilities

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- 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

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- 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

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- Spark / PySpark.

- Medallion Architecture.

- Experience working in Agile environments.

What We Offer

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- Opportunity to work on large-scale Data & AI transformation projects.

- Exposure to cutting-edge cloud and analytics technologies.

- Continuous learning, certifications, and career growth. xhfqzwm

- Collaborative and inclusive work environment.

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📌 Data Engineer (Madrid)
🏢 Capgemini
📍 Madrid