Capgemini is characterized by a predominantly collaborative culture, placing people, trust and teamwork at the core of its practices. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This culture is reinforced by a strong organizational dimension, ensuring process rigor, reliability and operational efficiency. It is complemented by a competitive component focused on performance and customer satisfaction, while a more moderate innovation dimension supports the continuous evolution of services and expertise.

Within our project teams, you will contribute to the development of innovative digital solutions for major clients in the banking, insurance, energy, and industry sectors. You will join a multidisciplinary team, organized in an Agile mode, working on projects with significant business impact.

As a Data Tester, you will be involved in various missions such as:

• Define the test strategy in a Data/Big Data context: scope, test types, entry and exit criteria.
• Design and execute Data tests (data quality, transformations, flows, integration, end-to-end).
• Analyze results and investigate anomalies, in collaboration with Data Engineers and Data Analysts.
• Write reports and track quality KPIs, ensuring smooth communication with project teams.
• Work in Agile mode (sprints, refinements, pair testing) and contribute to the continuous improvement of testing processes.

• Strong command of SQL and good ability to analyze data in Big Data environments.
• Knowledge of Python to read, understand, and adjust scripts or notebooks.
• Experience with Data platforms such as Databricks, Azure Data Lake, Azure DevOps or equivalents.
• Understanding of Data architectures (pipelines, ingestion, transformation, data models) and quality challenges.
• Significant experience in Data testing or in a role combining quality and Data, with an analytical mindset and strong rigor.