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Publiée le 7 avril 2026
A
VIE Expirée
Data Integration Engineer (H/F)
AMARIS FRANCE SAS
VIE242067
Offre expirée le 7 mai 2026
Description de la mission
Join our Data & AI team and start a new adventure in an international and dynamic environment, where you will be able to fulfill your career expectations in a fast-growing organization. Positioned at the heart of our evolution, our Data & AI team is pivotal in driving both team and organizational growth. As a Data Integrator, you will be responsible for designing, developing, and maintaining data integration solutions, ensuring seamless data flows between systems and supporting the organization’s analytics and business intelligence initiatives.
Your missions:
Design, implement, and maintain data integration processes and workflows across various platforms and systems
Extract, transform, and load (ETL) data from multiple sources to ensure data consistency and quality
Collaborate with business and technical stakeholders to understand data requirements and deliver integration solutions
Monitor and optimize data pipelines for performance, reliability, and scalability
Troubleshoot and resolve data integration issues in a timely manner
Document integration processes and maintain up-to-date technical documentation
Support data governance and data quality initiatives within the organization
Stay current with industry best practices and emerging technologies in data integration
Profil recherché
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field
1-3 years of experience in data integration, ETL development, or a similar role
Proficiency in English (written and spoken) is required
Strong experience with ETL tools (e.g., Talend, Informatica, SSIS, Data Factory) and scripting languages (e.g., Python, SQL)
Experience with cloud data platforms (e.g., AWS, Azure, GCP) and data warehousing solutions
Familiarity with OpenAI or other generative AI tools is a plus
Strong analytical and problem-solving skills
Nice to have: experience with Azure DevOps
Ability to work collaboratively in a multicultural and multidisciplinary team
Excellent communication and organizational skills