Description du poste
Join to apply for the Data Engineer role at Capgemini
At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture, and our focus on continuous learning, we’ll provide everything you need to become the best you can be.
YOUR ROLE
Developing data pipelines and flows using Azure Synapse Analytics, Talend, and Apache Airflow
Building and maintaining the Data Foundation repository (clients, portfolios, positions, transactions)
Migrating data models and ETL workflows to Microsoft Fabric, ensuring business continuity
Integrating heterogeneous data sources (APIs, file systems, web scraping)
Ensuring data quality and observability with tools like Great Expectations, ELK, and Splunk
Collaborating with analysts and researchers to deliver clean, structured data
YOUR PROFILE
Master’s degree in Computer Science, Data Science, or Information Systems
Minimum 5 years of experience in data engineering or related fields
Strong expertise in BI architecture and ETL tools (e.g., Talend)
Proficiency in Azure Synapse Analytics, Azure Cloud, and Power BI
Solid knowledge of SQL and relational databases (MS SQL, PostgreSQL)
Programming skills in Python and Java
Experience with Apache Airflow, data observability tools (ELK, Splunk), and data quality frameworks (Great Expectations)
Ability to communicate effectively with both technical and non-technical stakeholders
Fluent in French, with a good command of English
WHAT YOU'LL LOVE ABOUT WORKING HERE?
At Sogeti, we have a modern, human centric approach to promoting, assessing and ensuring future high performance. We support and guide you at every step of your career with continuous feedback and conversations. We’ll always make space to check in and discuss your growth and readiness for promotion.
We encourage flexibility when it comes to when and where people get their work done, allowing a better work‑life balance and greater empowerment. Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.
We offer access to one of the best digital learning packages in the market to improve both your soft and hard skills. Encouraging you to be curious and accountable for your skills development. Our learning offers are world class and free to every employee across the globe. Access all learning assets and curated programs from business experts, plus content from leading partners including Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Capgemini by 2x
Get notified about new Data Engineer jobs in Bertrange, Grand Est, France.
#J-18808-Ljbffr