Data Engineer (Python&AWS) | Junior-Mid Level

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities.

Where you can make a difference. Where no two days are the same.

Your role As a Data Engineer, you will contribute to the development and maintenance of modern data platforms and data pipelines that support business reporting, analytics, and operational processes. Working alongside experienced engineers and stakeholders, you will help build scalable solutions for processing, transforming, and managing data in cloud environments.

In this role you will play a key role in:

• Developing and maintaining data pipelines using Python and AWS services
• Supporting ETL/ELT workflows for ingesting, transforming, and loading data from multiple sources
• Working with structured and semi-structured datasets to ensure data quality and consistency Writing efficient SQL queries and supporting data model design activities
• Collaborating with engineering, analytics, and business teams to understand data requirements
• Monitoring and troubleshooting data pipelines and production data issues
• Contributing to CI/CD processes and automation activities related to data platforms Supporting cloud-based data solutions and participating in continuous improvement initiatives

Your profile:

• Experience with Python development
• Good knowledge of SQL and relational databases
• Hands-on experience with AWS services (such as S3, Lambda, Glue, Redshift, Athena, or similar)
• Understanding of ETL/ELT concepts and data processing workflows
• Familiarity with data pipeline development and maintenance
• Experience working with version control systems such as Git
• Good analytical and problem-solving skills
• Strong communication skills and willingness to learn in a collaborative environment

Nice to have:

• Experience with Apache Airflow
• Knowledge of Spark or PySpark
• Exposure to Data Warehousing concepts Experience with Docker and CI/CD pipelines Familiarity with dbt, Databricks, or cloud-native data platforms

What you will love about working here?

Scale & Impact: Contribute to innovative digital products and enterprise solutions used by customers and businesses across global markets.

Career Growth: Benefit from structured career paths, with opportunities to expand your expertise across technologies, products, and business domains.

Learning & Development: Access continuous learning programs, technical training, certifications, and hands-on experience with modern cloud and data technologies.

Community & Support: Join a global network of talented engineers, architects, and technology professionals, with a strong culture of collaboration, knowledge sharing, and mentorship.

Flexibility & Balance: Hybrid working policies allow you to manage your time and your work base effectively.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries.

We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

Make it real. | www.capgemini.com