Gen AI Data Engineer Intern - Hybrid (Barcelona)

Fossil Group, Inc.; Barcelona; Hybrid; EUR 12,000 - 18,000; Full time

Job summary

Fossil Group, Inc. is seeking a data engineering-focused intern in Barcelona to work on Gen AI pipelines, data pipelines, vector search, and AI-driven analytics. This is a 12-month hybrid internship based in the Barcelona office with onsite Mon-Thu and optional remote Fridays.

You will gain hands-on experience with RAG architectures, data governance, and cross-functional collaboration across our global Data and Analytics team.

Qualifications

• Currently enrolled in a graduate program ( Master’s or PhD ) in CS, Mathematics, Information Systems, Engineering, or a related discipline.
• Advanced SQL capabilities and solid relational/dimensional database design knowledge.
• Familiarity with enterprise data management, ingestion methodologies, and ETL/ELT frameworks.
• Strong problem-solving mindset with high accountability and good task management.
• Exceptional written and verbal English communication skills.

Responsibilities

• Develop Gen AI & LLM pipelines including Retrieval-Augmented Generation architectures and embedding ingestion workflows.
• Assist in connecting to data sources, database administration, and SDLC best practices.
• Support data governance, data privacy, cataloging, and responsible AI practices.

Skills

SQL

Problem solving

English communication

Education

Graduate program (Masters/PhD) in CS/Math/IS/Engineering

Tools

Python

Shell scripting

Linux

BigQuery

Dataproc

Snowflake

Tableau/Power BI

Pinecone

Chroma

Vertex AI Vector Search

LangChain

LlamaIndex

RAG

ETL/ELT

Postman

MOVEit

WS FTP

Job description

Fossil Group, Inc. is seeking a data engineering-focused intern in Barcelona to work on Gen AI pipelines, data pipelines, vector search, and AI-driven analytics. This is a 12-month hybrid internship based in the Barcelona office with onsite Mon-Thu and optional remote Fridays.

You will gain hands-on experience with RAG architectures, data governance, and cross-functional collaboration across our global Data and Analytics team.