Gen AI Data Engineer Intern - Hybrid in Barcelona

Fossil Group, Inc.; Barcelona; Hybrid; EUR 11,000 - 17,000; Part time

Benefits offered by this job

Hybrid work model

Mentorship by senior leaders

Job summary

Fossil Group in Barcelona is offering a 12-month internship in our Data & Analytics team, focusing on Gen AI pipelines, vector search, and AI-driven analytics to empower enterprise innovation.

You will work onsite Mon-Thu with Fridays remote, and be mentored by senior engineers. You must be enrolled in a graduate program (Master’s or PhD) and demonstrate strong SQL, data management, and English communication skills.

Qualifications

• Enrollment in a graduate program (Master’s or PhD) in Computer Science, Mathematics, Information Systems, Engineering, or a related discipline.
• Advanced SQL capabilities and relational and dimensional database design.
• Familiarity with enterprise data management practices, ingestion methodologies, and ETL vs ELT frameworks.
• Strong problem-solving mindset with self-direction and accountability.
• Exceptional written and verbal English communication.

Responsibilities

• Prepare structured and unstructured data for Gen AI pipelines, including Retrieval-Augmented Generation architectures and embedding ingestion workflows.
• Assist senior engineers with data integration and vector processing workflows across the enterprise ecosystem.
• Collaborate with data scientists, AI/ML engineers, and stakeholders to implement industry best practices and agile delivery.

Skills

SQL

English communication

Problem-solving

Data management

Python

Education

Graduate program enrolled (Master's or PhD)

Tools

Vector databases

ETL vs ELT

Job description

Fossil Group in Barcelona is offering a 12-month internship in our Data & Analytics team, focusing on Gen AI pipelines, vector search, and AI-driven analytics to empower enterprise innovation.

You will work onsite Mon-Thu with Fridays remote, and be mentored by senior engineers. You must be enrolled in a graduate program (Master’s or PhD) and demonstrate strong SQL, data management, and English communication skills.