at Capgemini
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**Senior Data Engineer (AWS Transformation)** Lead data migration and modernization to AWS, designing scalable, reliable pipelines and data models. Leverage skills in AWS data services (S3, Glue, Redshift) and big data tools (Spark/PySpark) to support a large-scale banking transformation. Minimum 8 years' experience required, with proven migration and architecture designing. Fluent English essential, French is advantageous.
- Compensation
- Not specified
- City
- Geneva
- Country
- Switzerland
Currency: Not specified
Full Job Description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
YOUR ROLE
As a Senior Data Engineer, you will support the migration and modernization of enterprise data platforms to AWS, delivering scalable and reliable data solutions within a large-scale banking transformation program.
- Design, build, and optimize data pipelines and ETL/ELT processes on AWS;
- Migrate and modernize on-premises data platforms, databases, and data workloads to AWS;
- Develop scalable data models, data lakes, and analytical datasets to support business and regulatory requirements;
- Ensure data quality, performance, reliability, and observability across data platforms;
- Collaborate with architects, cloud engineers, and business stakeholders to deliver end-to-end data solutions;
- Contribute to the industrialization of the target platform through automation, testing, and deployment best practices.
YOUR PROFILE
- 8+ years of experience in Data Engineering, including large-scale data transformation and migration projects;
- Strong hands-on expertise with AWS data services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake Formation;
- Advanced SQL and Python skills, with experience using Spark/PySpark for large-scale data processing;
- Proven experience designing and implementing modern data lake, data warehouse, and ETL/ELT architectures;
- Experience migrating data workloads from on-premises environments to AWS cloud platforms;
- Fluent in English; French is a strong advantage.
WHAT YOU'LL LOVE ABOUT WORKING HERE
- Craft your own career path through continuous learning and personal growth;
- Experience the benefits of hybrid working, offering flexibility and ensuring work-life balance;
- Harness the strength of diverse teams, fostering innovation and inclusive collaboration;
- We offer additional benefits such as 5 weeks of vacation, Employee referral bonus, Company shares program and Annual contribution to a fitness subscription.
Capgemini Switzerland is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.
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 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. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
