act digital designs semantic data layers and knowledge base solutions that power enterprise-scale artificial intelligence systems.ЗадачиDesign graph schemas, entity resolution strategies, ontological structures, and semantic indexing systems to support agentic AIIngest and transform structured and unstructured data from S3, SharePoint, FileNet, and other sources while ensuring semantic consistencyCreate taxonomies and ontologies using RDF, OWL, and SKOS standardsOperate and orchestrate AWS services including S3, Glue, Aurora PostgreSQL, Neptune, and AWS BedrockBuild RAG pipelines, semantic search, metadata enrichment, and Text-to-SQL interfacesDesign graph retrieval strategies combining pattern matching, vector search, full-text search, and relational traversalsEnsure quality control, monitoring, and production readiness of AI data infrastructureТребования4–5 Years of experience in Data Engineering, Software Engineering,



or AI Engineering with solutions deployed in productionAdvanced Python (P3 - Advanced) and SQL proficiencyPractical experience modeling and developing queries with Gremlin, SPARQL, and/or CypherSolid AWS experience with S3, Glue, and Aurora PostgreSQLExperience designing batch and incremental ETL/ELT pipelinesExperience with Docker, CI/CD, and GitExperience with hybrid retrieval architectures combining SQL, graph, and vector searchKnowledge of data lineage, cataloging, metadata management, and data quality frameworksDegree or Master's in Computer Science, Mathematics, Physics, Engineering, or a related fieldSpanish at C1 (Expert) levelEnglish at B2 (Advanced) levelNice to have: Neptune and AWS BedrockУсловияHybrid schedule with 40% telework / remote work; Office schedule.
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📌 data engineer for AI systems (Barcelona)
🏢 Enfint
📍 Barcelona