technologies-expected :

about-project :

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.

responsibilities :

Collaborating with data scientists and software engineers to integrate (Gen)AI models into business applications, such as conversational chatbots and analytics.
Managing, optimizing, and streamlining Data/AI workflows using AI orchestrators like LangChain
Utilizing the Azure Cloud environment and services, including AI Service, Data Factory, Synapse Analytics, Container App, App Jobs, and App Configuration, to build, manage, and run data pipelines and cloud-native applications
Implementing Azure Cognitive Services for natural language processing and other AI functionalities
Designing and managing efficient database schemas to meet application data requirements
Performing database tuning and query optimization to ensure high performance
Working closely with cross-functional teams to
understand business requirements and translate them into technical solutions
Documenting data workflows, processes, and architectures
Ensuring that all data solutions
adhere to security and compliance standards, including data encryption and access controls

requirements-expected :

3+ years of experience in data engineering, with a focus on building and managing ETL pipelines.
Proven experience with Microsoft Azure Cloud environment and services (e.g., AI Service, Azure Data Factory, Azure Synapse Analytics).
Experience with SQL and NoSQL databases.
Knowledge of LLM and RAG solution is a preferred.
Proficiency in programming languages such as Python and SQL (Javascript/Typescript is plus)
Strong understanding of data modeling, data warehousing, and big data technologies.
Familiarity with GenAI models such as LLM and natural language processing techniques.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Experience with Azure Cognitive Services and other AI/ML frameworks.
Familiarity with DevOps practices and CI/CD pipelines.
English C1

offered :

Well-being culture: medical care with Medicover, private life insurance, and Multisport 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 :

about-project :