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