act digital designs semantic data layers and knowledge base solutions that power enterprise-scale artificial intelligence systems. Задачи * Design graph schemas, entity resolution strategies, ontological structures, and semantic indexing systems to support agentic AI * Ingest and transform structured and unstructured data from S3, SharePoint, FileNet, and other sources while ensuring semantic consistency * Create taxonomies and ontologies using RDF, OWL, and SKOS standards * Operate and orchestrate AWS services including S3, Glue, Aurora PostgreSQL, Neptune, and AWS Bedrock * Build RAG pipelines, semantic search, metadata enrichment, and Text-to-SQL interfaces * Design graph retrieval strategies combining pattern matching, vector search, full-text search, and relational traversals * Ensure quality control, monitoring, and production readiness of AI data infrastructure Требования * 4–5 Years of experience in Data Engineering, Software Engineering,



or AI Engineering with solutions deployed in production * Advanced Python (P3 - Advanced) and SQL proficiency * Practical experience modeling and developing queries with Gremlin, SPARQL, and/or Cypher * Solid AWS experience with S3, Glue, and Aurora PostgreSQL * Experience designing batch and incremental ETL/ELT pipelines * Experience with Docker, CI/CD, and Git * Experience with hybrid retrieval architectures combining SQL, graph, and vector search * Knowledge of data lineage, cataloging, metadata management, and data quality frameworks * Degree or Master's in Computer Science, Mathematics, Physics, Engineering, or a related field * Spanish at C1 (Expert) level * English at B2 (Advanced) level * Nice to have: Neptune and AWS Bedrock Условия Hybrid schedule with 40% telework / remote work; Office schedule. #J-18808-Ljbffr

📌 data engineer for AI systems (Cataluña)
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