GET THE FUTURE YOU WANT!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

We are seeking a highly skilled and motivated Data Engineer with strong experience in Python programming, Microsoft Azure cloud services, and a solid background in the banking and financial domain. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and solutions that support critical business operations and analytics.

• Design, develop, and maintain robust and scalable data pipelines using Python and Azure Data Services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks).
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
• Implement data ingestion, transformation, and storage strategies for structured and unstructured data.
• Ensure data quality, integrity, and security across all data platforms.
• Optimize data workflows for performance and cost-efficiency in the Azure environment.
• Work with large-scale datasets from banking and financial systems, ensuring compliance with industry regulations and standards.
• Develop and maintain documentation for data engineering processes and architectures.