Varied missions - Unlimited self-training
Varied missions - Unlimited self-training
Possibility of standing out in varied missions. Unlimited access to several MOOC training platforms or certifications for Azure / GCP / AWS / Databricks / Scala / Python / … Working hours rarely exceeded.
Capgemini's strength lies in its ability to intervene with large teams. Therefore, managers are more valued than developers.
Trouver des moyens de plus valoriser les profils techniques experts (développeurs) en valorisant la transmission des connaissances sur mission ET les rémunérations.
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Capgemini Interview Questions
Capgemini Interview Experiences
Data Engineer
For an apprenticeship position in the data sector, the interview includes: * An interview with the manager. * A knowledge test in languages (Python, SQL) and English. Then, an interview with the director of the data sector is scheduled. A response
Data Engineer
The process was well-managed overall, and the company and the role offered were both quite promising. However, the location and compensation package were altered during the final HR round, resulting in a 15% reduction from the initial offer, which l
Data Engineer
First contact with HR, followed by a technical interview with other technical teams where they explain the hierarchy within the data department.
Data Engineer
Paris, FranceOctober 7, 2025For an apprenticeship position in the data sector, the interview includes: * An interview with the manager. * A knowledge test in languages (Python, SQL) and English. Then, an interview with the director of the data sector is scheduled. A response
Data Engineer
IndiaSeptember 11, 2025The process was well-managed overall, and the company and the role offered were both quite promising. However, the location and compensation package were altered during the final HR round, resulting in a 15% reduction from the initial offer, which l
Data Engineer
Málaga, SpainSeptember 5, 2025First contact with HR, followed by a technical interview with other technical teams where they explain the hierarchy within the data department.
