Data Engineer

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing 420,000 team members in more than 50 countries. The team works on developing and enhancing a global marketing data platform for a leading FMCG company.

• 4+ years of experience in Data Engineering.
• Strong hands-on expertise in Python, Spark, and Databricks.
• Strong knowledge of SQL and experience using PySpark to process large datasets.
• Proven experience designing, building, and maintaining data pipelines and ETL/ELT workflows.
• Experience with cloud-based data platforms; familiarity with Google Cloud Platform (GCP) is a plus.
• Strong analytical and problem-solving skills.
• Professional English proficiency (B2/C1 level).

• Design, develop, and maintain scalable data processing solutions in cloud environments.
• Build, optimize, and support ETL pipelines, as well as data integration and transformation processes.
• Collaborate with business stakeholders to analyze requirements, troubleshoot production issues, support end users, and deliver new functionalities using Databricks, Spark, and Python.