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Publiée le 7 avril 2026
VIE Expirée

Data Integration Engineer (H/F)

AMARIS FRANCE SAS

Lieu PORTUGAL, PORTO
Début 1 juin 2026
Durée 24 mois
Indemnité 2672.31 €
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