Data Engineer

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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, 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, inclusive world.
Your Role: 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.
Your Profile: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Over 7 years of experience in data engineering with a proven track record of delivering robust data solutions.
Strong hands-on expertise in Python for data processing, automation, and scripting tasks.
Proficient in Azure Data Services including Data Factory, Synapse, Databricks, and Blob Storage.
Solid understanding of SQL and experience with both relational and NoSQL databases.
Background in the banking or financial services domain, with knowledge of financial data structures, compliance, and reporting.
Familiarity with CI/CD pipelines and DevOps practices in cloud environments.
Excellent problem-solving skills with strong attention to detail and data accuracy.
Effective communicator with strong collaboration skills across technical and non-technical teams.
Added advantage: experience with data governance, metadata management, ML pipelines, and Azure certifications.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With over 55 years of heritage, Capgemini is trusted by its clients to unlock the value of technology to address their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, fueled by its capabilities in AI, cloud, and data, combined with deep industry expertise and a partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Experience Level: Experienced Professionals

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