Intern Data Engineer

Capgemini is a global business transformation partner for enterprises in the age of AI. The company combines AI, technology, engineering, and intelligent operations with deep industry expertise in AI, cloud, and data to deliver measurable business outcomes. Capgemini has over 410,000 employees in more than 50 countries with 2025 revenues of €22.5 billion.

• Fluent knowledge of English.
• Student of a STEM field (computer science, mathematics, or physics).
• Strong foundation in SQL and data modelling.
• Proficient in Python, especially for data manipulation using Pandas and NumPy.
• Analytical thinking and adaptability in dynamic environments.
• Familiarity with MS SQL Server, Snowflake, and reporting tools like Power BI or Tableau (nice to have).
• Basic understanding of ETL tools and version control using GitLab CI/CD (nice to have).
• Familiarity with PySpark, ETL tools, or version control systems like GitLab CI/CD (nice to have).

• Participate in designing, building, and maintaining data solutions tailored to clients' analytical and business needs.
• Work on data systems primarily based on high-level programming languages including Python and SQL, modern data technologies, tools, and engineering methodologies following best practices and international standards.
• Join an international, cross-functional team to develop technical expertise and English communication skills.
• Work with technologies such as MS SQL Server, Snowflake, Power BI.
• Gain exposure to ETL tools and version control systems like GitLab CI/CD.