{"id":2918229,"url":"https://alion.io/job/fossil-data-engineer-intern-gen-ai-analytics-temporary-12-months-fmx","title":"Data Engineer Intern (Gen AI & Analytics) – Temporary 12 Months (f/m/x)","company":{"id":1861776,"name":"Fossil","domain":"fossil.com","url":"https://alion.io/company/fossil-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":77,"open_postings":34,"ghost_share":0,"stale_share":0.912,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Waterfall","optional":false},{"name":"Chroma","optional":true},{"name":"Google BigQuery","optional":true},{"name":"LangChain","optional":true},{"name":"Linux","optional":true},{"name":"LlamaIndex","optional":true},{"name":"MySQL","optional":true},{"name":"Pinecone","optional":true},{"name":"Postman","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-20T04:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-31T10:54:25Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Make an Impact\nAre 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.\nThis 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.\nWhat you will do in this role:\nGen AI & LLM Pipeline Development\nGain hands-on experience preparing structured and unstructured data to build modern Gen AI pipelines, including Retrieval-Augmented Generation (RAG) architectures and embedding ingestion workflows.\nPerform data exploration, analysis, prompt context dataset curation, database modeling, and stewardship activities to support automated task execution.\nEngineering & System Integration\nAssist senior engineers in connecting to internal and external data sources, database administration, and applying software development lifecycle best practices.\nSupport data integration and vector processing workflows across our global enterprise ecosystem.\nData Governance & Quality\nSupport data governance initiatives by helping establish guidelines for data privacy, cataloging, classification, and responsible AI practices.\nEnsure data hygiene and alignment with enterprise security frameworks.\nCross-Functional Collaboration\nCollaborate closely with senior data scientists, AI/ML engineers, and global business stakeholders to learn and implement industry best practices.\nParticipate in Agile/Waterfall product delivery iterations to build scalable analytics and AI solutions.\nWho You Are\nMust-Haves:\nEducation: Currently enrolled in a graduate program (Master’s or PhD) in Computer Science, Mathematics, Information Systems, Engineering, or a related discipline.\nDatabase & SQL Expertise: Advanced SQL capabilities alongside solid expertise in relational and dimensional database design.\nData Management Principles: Familiarity with enterprise data management practices, ingestion methodologies, and foundational knowledge of ETL versus ELT frameworks.\nProblem-Solving & Mindset: Strong problem-solving mindset with demonstrated self-direction, high accountability, and strong task management skills.\nLanguages: Exceptional written and verbal communication capabilities in English.\nPreferred & Nice-to-Haves:\nProgramming & Automation: Strong programming proficiency in Python (or equivalent) along with shell scripting expertise in Linux environments.\nGen 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.\nData 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).\nCDP & Marketing Tech: Exposure to CDPs (e.g., Segment, Amperity) or ESP platforms (e.g., Bloomreach) is a distinct advantage.\nWhat We Offer\nA hands-on, high-impact internship working with cutting-edge Gen AI and enterprise data technologies\nDirect mentorship and collaboration with senior global data 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