Who we are
We’re building what’s next at Fossil Group—and that chapter starts now. We have a vision to lead the industry in bold innovation across our products, experiences, and the way we connect with consumers. To get there, we’re building a global team with the energy, innovation, and ambition to accelerate our growth strategy.
For over 40 years, we’ve been known for our passion to bring innovative watches, jewelry, and leather goods to customers in more than 130 countries. Our culture is grounded in four values: Show Up Real, Win Together, Imagine What’s Next, and Hustle With Heart. If you want to be part of the team that shapes the future of the industry, we want to hear from you.
Make an ImpactAre you passionate about data engineering and eager to build real-world Generative AI applications? Join our dynamic global Data and Analytics team in Barcelona for an exciting internship where you will work on cutting-edge data pipelines, vector search, and AI-driven analytics to empower enterprise innovation.
This is a temporary (12-month contract), hybrid internship position based in our Barcelona office. You will be required to work onsite from Monday through Thursday, with the flexibility to work remotely on Fridays.
What you will do in this role:Gen AI & LLM Pipeline Development
Gain hands-on experience preparing structured and unstructured data to build modern Gen AI pipelines, including Retrieval-Augmented Generation (RAG) architectures and embedding ingestion workflows.
Perform data exploration, analysis, prompt context dataset curation, database modeling, and stewardship activities to support automated task execution.
Engineering & System Integration
Assist senior engineers in connecting to internal and external data sources, database administration, and applying software development lifecycle best practices.
Support data integration and vector processing workflows across our global enterprise ecosystem.
Data Governance & Quality
Support data governance initiatives by helping establish guidelines for data privacy, cataloging, classification, and responsible AI practices.
Ensure data hygiene and alignment with enterprise security frameworks.
Cross-Functional Collaboration
Collaborate closely with senior data scientists, AI/ML engineers, and global business stakeholders to learn and implement industry best practices.
Participate in Agile/Waterfall product delivery iterations to build scalable analytics and AI solutions.
Must-Haves:
Education: Currently enrolled in a graduate program (Master’s or PhD) in Computer Science, Mathematics, Information Systems, Engineering, or a related discipline.
Database & SQL Expertise: Advanced SQL capabilities alongside solid expertise in relational and dimensional database design.
Data Management Principles: Familiarity with enterprise data management practices, ingestion methodologies, and foundational knowledge of ETL versus ELT frameworks.
Problem-Solving & Mindset: Strong problem-solving mindset with demonstrated self-direction, high accountability, and strong task management skills.
Languages: Exceptional written and verbal communication capabilities in English.
Preferred & Nice-to-Haves:
Programming & Automation: Strong programming proficiency in Python (or equivalent) along with shell scripting expertise in Linux environments.
Gen AI Tools: Experience or familiarity with vector databases (e.g., Pinecone, Chroma, Vertex AI Vector Search), LLM orchestration frameworks (e.g., LangChain, LlamaIndex), and RAG/embedding workflows.
Data Platforms & APIs: Practical experience with modern analytical databases (e.g., BigQuery, Dataproc, Snowflake, PrestoDB, MySQL, Spark), BI tools (Tableau, Power BI), and API-driven integrations (Postman, MOVEit, WS FTP).
CDP & Marketing Tech: Exposure to CDPs (e.g., Segment, Amperity) or ESP platforms (e.g., Bloomreach) is a distinct advantage.
A hands-on, high-impact internship working with cutting-edge Gen AI and enterprise data technologies
Direct mentorship and collaboration with senior global data engineering and AI/ML leaders
A collaborative, dynamic, and international working environment in Barcelona
Professional growth and skill development within a global analytics organization
At Fossil Group, we embrace purpose and take every opportunity to work together to make the world a little better. We’re committed to fostering a culture of inclusivity and collaboration, where all employees are encouraged to contribute their unique selves and perspectives as valued members of our team.
We are an Equal Employment Opportunity Employer dedicated to a policy of non-discrimination in all employment practices without regard to age, disability, gender identity or expression, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic.
If you need any accommodations during the interview process, just let us know at [email protected].
Skills Required
- Currently enrolled in a graduate program such as a Master's or PhD in Computer Science, Mathematics, Information Systems, Engineering, or a related discipline.
- Advanced SQL capabilities.
- Expertise in relational and dimensional database design.
- Familiarity with enterprise data management practices and data ingestion methodologies.
- Foundational knowledge of ETL and ELT frameworks.
- Strong problem-solving, self-direction, accountability, and task management skills.
- Exceptional written and verbal communication skills in English.
- Programming proficiency in Python or equivalent.
- Shell scripting expertise in Linux environments.
- Experience with vector databases such as Pinecone, Chroma, or Vertex AI Vector Search.
- Familiarity with LLM orchestration frameworks such as LangChain or LlamaIndex.
- Experience with RAG and embedding workflows.
- Experience with analytical databases such as BigQuery, Dataproc, Snowflake, PrestoDB, MySQL, or Spark.
- Experience with BI tools such as Tableau or Power BI.
- Experience with API-driven integrations and tools such as Postman, MOVEit, or WS FTP.
- Exposure to CDPs such as Segment or Amperity, or ESP platforms such as Bloomreach.
What We Do
Fossil Group is a global design, marketing, distribution, and innovation company specializing in lifestyle accessories. It creates distinctive watches and accessories with leading brands, bringing brand stories to life through an extensive distribution network, categories, and channels. Its products include watches, jewelry, and leather goods, and the company focuses on quality, fashionable pieces, technology, authenticity, and long-term value creation for customers worldwide.
