Intern Data Engineer

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. With nearly 60 years of heritage, it comprises over 420,000 team members in more than 50 countries. Capgemini delivers end-to-end services and solutions leveraging strategy, technology, design, engineering, and business operations expertise.

• Fluent knowledge of English.
• Student of a STEM field (such as computer science, mathematics, or physics).
• Strong foundation in SQL and data modelling.
• Proficient in Python, especially for data manipulation using Pandas and NumPy.
• Demonstrates analytical thinking and adaptability in dynamic environments.

Nice to have:

• Familiarity with MS SQL Server, Snowflake, and reporting tools like Power BI or Tableau.
• Basic understanding of ETL tools and version control using GitLab CI/CD.
• Familiarity with PySpark.

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

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices and evaluating individuals based on qualifications and performance, not personal characteristics.