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.
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📌 data engineer for AI systems (Barcelona)
🏢 Enfint
📍 Barcelona