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 (Madrid)
🏢 Enfint
📍 Madrid