Senior Cloud Data Engineer
Capgemini · Genève, Geneva, Switzerland
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
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.
## **YOUR ROLE** ##
As a Senior Cloud Data Engineer, you will be responsible for the hands-on delivery of cloud-based data solutions, driving migration initiatives and ensuring the successful implementation and industrialization of target architectures.
* Design, build, and optimize cloud-native data pipelines, ensuring scalability, performance, and reliability;
* Translate target architecture into implementable solutions, bridging architecture, data engineering, and cloud infrastructure;
* Lead the completion and stabilization of pilot/MVP components, ensuring readiness for industrialization and broader deployment;
* Contribute to and support cloud migration initiatives, including data platform transformation and workload onboarding;
* Implement Infrastructure as Code and CI/CD pipelines to standardize, automate, and accelerate delivery;
* Manage technical dependencies, resolve blockers, and coordinate engineering activities to ensure execution within tight timelines.
## **YOUR PROFILE** ##
* 10+ years of experience in Cloud and Data Engineering, with strong hands-on delivery experience in complex environments;
* Proven expertise in cloud platforms (AWS preferred), combined with strong knowledge of data engineering and database technologies;
* Solid experience in data pipeline implementation and optimization within modern cloud data platforms;
* Good understanding of architecture principles, with the ability to translate designs into scalable, production-ready solutions;
* Experience supporting cloud migration and data platform transformation initiatives;
* Strong consulting mindset with the ability to work in a hybrid role (advisory + hands-on delivery) and interact with multiple stakeholders;
* Excellent level of English, French is a plus.
## **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
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The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Where data engineers move nextevery measured route out
- Data Architect → Data Engineer48% readiness
- Data Analyst → Data Engineer30% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 20 open data architect roles90% readiness from data engineer
- 250 open solutions architect roles61% readiness from data engineer
- 202 open data analyst roles60% readiness from data engineer
- 27 open database administrator roles56% readiness from data engineer
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