Join our dynamic Insights & Data team—over 400 professionals delivering cutting-edge, data-driven solutions. We specialize in Cloud & Big Data engineering, building scalable architectures across AWS, Azure, and GCP. You’ll be part of a team that manages the full Software Development Life Cycle (SDLC) using modern frameworks, agile methodologies, and DevOps best practices.
responsibilities :
Collaborating with data scientists and software engineers to integrate GenAI 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 :
Proven experience with Microsoft Azure Cloud environment and services (e.g., AI Service, Azure Data Factory, Azure Synapse Analytics)
Good experience in data engineering, with a focus on building and managing ETL pipelines
Experience with SQL and NoSQL databases
Strong experience 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
Experience with Azure Cognitive Services and other AI/ML frameworks
Knowledge of LLM and RAG solution is preferred
Familiarity with DevOps practices and CI/CD pipelines
Strong English language skills
Strong problem-solving and analytical skills
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 :
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
