Data Engineer

Capgemini; Comunidad de Madrid; Híbrido; EUR 42.000 - 65.000; Jornada completa

Descripción de la vacante

Capgemini Spain is seeking a skilled Data Engineer to design, develop and maintain scalable data pipelines and ETL/ELT solutions in a hybrid Madrid-based role. You will work with Databricks, Azure Data Factory, and cloud data platforms to deliver data-driven outcomes.

You will collaborate with business and technical teams, optimize data transformation logic with SQL, Spark or PySpark, and contribute to modern data architectures.

Formación

• Hands-on experience with Databricks and Azure Data Factory in ETL/ELT projects.
• Knowledge of Azure cloud services and data warehousing concepts.
• Strong analytical and problem-solving skills.

Responsabilidades

• 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.

Conocimientos

Databricks and/or Azure Data Factory (

Descripción del empleo

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.