At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
responsibilities :
Design, develop, and maintain ETL/ELT pipelines and workflows using Databricks.
Collaborate with cross-functional teams to understand data requirements and deliver high-quality datasets.
Build and manage data lake and data warehouse architectures to support analytics and reporting.
Optimize data workflows for performance, scalability, and cost efficiency.
Ensure data quality, consistency, and reliability across all data platforms.
Apply data governance and security standards, leveraging tools such as Unity Catalog.
Integrate Databricks with enterprise systems and tools (e.g., Delta Lake, MLflow, Power BI, Mosaik SDK, Agent Bricks).
Monitor, test, and troubleshoot data pipelines to ensure production stability and performance.
Contribute to best practices in data engineering and participate in code reviews.
requirements-expected :
Hands-on experience designing and developing data pipelines with Databricks.
Strong working knowledge of Delta Lake, Spark, and Databricks notebooks.
Proficiency in SQL and Python for data transformation and analysis.
Familiarity with data modeling, data warehousing, and data architecture principles.
Understanding of data governance and security frameworks (experience with Unity Catalog is a plus).
Experience with tools such as MLflow, Power BI, or similar technologies.
Solid problem-solving and troubleshooting skills for data and pipeline issues.
Effective communicator and collaborator in cross-functional environments.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
Databricks certification (e.g., Databricks Certified Data Engineer Associate or Professional) is an advantage.
offered :
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 "Lets 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, Pluralsight, TED Talks, Coursera 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.
benefits :
sharing the costs of sports activities
private medical care
life insurance
no dress code
parking space for employees
extra social benefits
redeployment package
employee referral program
charity initiatives
access to courses e.g. Excel, VBA, RPA, Customer Care
