
Cloud Data Engineer with French @ Capgemini
- Proven experience as a Data Engineer or Cloud Engineer
- Hands-on experience with Google Cloud Platform (GCP), including: Cloud Composer (Airflow), BigQuery, Cloud Storage
- Strong understanding of cloud-based architectures and data pipelines
- Experience working with modern, distributed data system
- Strong communication skills and ability to collaborate with cross-functional teams and clients
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 roleWe are looking for a Cloud Data Engineer to join a fast-growing, cloud-based project focused on modern data platforms. You work with large datasets, ensuring data quality, reliability, and performance across the full data lifecycle. The role is centered around data engineering rather than machine learning, though exposure to AI-driven solutions will be a strong asset.The project leverages cutting-edge Google Cloud technologies and requires a proactive individual who can bring expertise in emerging cloud-based data ecosystems.
What You'll love about working here- Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
- Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.
- Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
About CapgeminiCapgemini 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.
,[Support and develop data solutions within a cloud-native architecture (Google Cloud Platform), Work with and maintain data pipelines and workflows using Cloud Composer (Apache Airflow), Manage and optimize storage and processing using Cloud Storage and BigQuery, Contribute to improving processes around deployment, monitoring, and scaling of data applications, Support troubleshooting and operational maintenance of cloud-based data services] Requirements: Cloud, Google cloud platform, Cloud Composer, BigQuery, Data pipelines, Communication skills Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.Similar roles
Data Analyst - 12m Fixed Term Contract
Safran Engineering Services UK Limited·Banbury, United Kingdom
We are seeking a motivated Data Analyst to support the development and deployment of digital manufacturing solutions across Safran Engineering Services and customer sites. This role will focus on collecting, centralising and analysing production data from multiple locations, transforming complex datasets into meaningful insights that drive operational efficiency and continuous improvement. Working closely with Manufacturing Engineers, Digital teams and key…
- Contract
DevOps/ML Engineer (m/f/d)
Machine Learning Reply·Munich, Germany
At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for DevOps and ML Engineers to support our customer projects around machine learning and data processing across various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a…
- On-site
- Full-time
- Blue Card — tied; settle 21–33mo
Data Engineer - ETL/PySpark (Banking Domain)
GSSTech Group·Bengaluru, India
ROLE SUMMARY We are looking for a hands-on Data Engineer with strong PySpark and Python expertise to build and maintain data marts and ETL pipelines within a banking environment. The ideal candidate owns the full SDLC, from build through UAT, bug fixing, production deployment, and postproduction support. KEY RESPONSIBILITIES * Design, build, and maintain ETL pipelines and data marts using…
- Full-time
Graduate Business Intelligence Analyst
Focus Group·Shoreham-by-Sea, United Kingdom
GRADUATE BUSINESS INTELLIGENCE ANALYST Location: Shoreham-by-Sea (HQ) Hybrid — home working Wednesday & Friday Salary: £28,000 (Internal Job Level: Senior Associate) Focus Group is a £300m-revenue, 1,400-person technology services company backed by Hg Capital. Following our $1bn valuation in 2024, we're scaling rapidly and investing in AI to transform how we operate and how we serve our 30,000 SME customers.…
- Hybrid
- Full-time
Data Engineer - ETL/PySpark (Banking Domain)
GSSTech Group·Dubai, United Arab Emirates
ROLE SUMMARY We are looking for a hands-on Data Engineer with strong ETL and PySpark expertise to design, build, and support data pipelines and data marts within a banking environment. The ideal candidate will own the full SDLC lifecycle — from build through UAT, production deployment, and post-production support — while working across structured, semi-structured, and unstructured data. KEY RESPONSIBILITIES…
- Full-time
- Green Visa — self-sponsored, no tie
Data Onboarding Manager
FE fundinfo·Chennai, India
Join FE fundinfo as a Data Onboarding Manager and play a key role in expanding our investment data capabilities while shaping the future of Private Markets data coverage across global platforms. This is an exciting opportunity to work at the intersection of data, financial services, and stakeholder engagement. You will collaborate with asset managers, data suppliers, and internal teams to…
- Hybrid
- Full-time
Quantum Software - Data Scientist
Infleqtion·Kidlington, United Kingdom
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world’s most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables “quantum everywhere” through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders…
- Hybrid
- Full-time
Quantum Software - Data Scientist
Infleqtion·Harwell, United Kingdom
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world’s most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables “quantum everywhere” through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders…
- Hybrid
- Full-time