Data Engineer - IA/ML, Python, AWS
Es imprescindible residir en España y tener permiso laboral en España.
Funciones
- Desarrollo y mantenimiento de pipelines de datos para integrar información procedente de diferentes fuentes.
- Preparación, transformación y organización de datos estructurados y no estructurados para su consumo por aplicaciones de IA.
- Desarrollo de procesos ETL/ELT para automatizar la carga y transformación de datos.
- Diseñar y desarrollar pipelines de datos en AWS (S3, Glue, Aurora PostgreSQL, Neptune) para integrar fuentes estructuradas y no estructuradas.
- Implementar consultas sobre grafos (SPARQL, Cypher o Gremlin) y combinarlas con SQL y búsqueda vectorial.
- Construir soluciones de RAG, búsqueda semántica y enriquecimiento de metadatos para casos de uso con LLM.
- Colaboración con equipos de IA, analítica y desarrollo para crear soluciones escalables y eficientes.
- Gestión de metadatos y documentación de los procesos para garantizar la trazabilidad de la información.
- Participación en iniciativas relacionadas con búsqueda semántica, IA generativa y asistentes inteligentes.
- Diseñar arquitecturas de datos orientadas a conocimiento con enfoque end-to-end para sistemas AI-driven.
- Integrar múltiples repositorios empresariales (S3, SharePoint, FileNet) asegurando coherencia semántica.
- Definir estrategias de consulta híbridas (relacional, grafo, vectorial) en función del caso de uso.
- Garantizar calidad de datos, trazabilidad (data lineage) y cumplimiento de estándares de gobierno del dato.
- Titulación universitaria en Ingeniería, Informática, Matemáticas, Física o equivalente.
- Experiencia profesional en Data Engineering, Software Engineering o AI Engineering en entornos productivos.
- Uso de Python y SQL avanzado como herramientas principales de trabajo..
- Experiencia en servicios AWS (S3, Glue, Aurora PostgreSQL, Neptune, Bedrock)
- Experiencia en bases de datos de grafos y lenguajes de consulta (SPARQL, Cypher o Gremlin)
- Inglés B2/C1
- Experiencia con frameworks como LangChain, LlamaIndex o similares.
- Conocimientos de Kubernetes, Terraform o DevOps
- Experiencia en Docker, Git y CI/CD.
- Experiencia en herramientas de data lineage, calidad de datos y gobierno del dato.
En Accenture, compañía reconocida como Great Place To Work®, apostamos por un modelo híbrido de trabajo que, gracias a la tecnología y a nuestras instalaciones, nos permiten mantener la conexión humana esencial para trabajar con nuestros equipos y clientes. Una conexión que nos permite mantener nuestra cultura de inclusión y diversidad y ser, según Refinitiv, la empresa más diversa del mundo.
Además, te ofrecemos otros beneficios como:
- Seguro médico, de Vida y accidentes
- Servicio médico y programas de bienestar
- Programa de retribución flexible y compra de acciones
- Programas de flexibilidad (horaria, de días libres, vacaciones...)
- Itinerario formativo individualizado
- Programas de sostenibilidad y Fundación Accenture
- Red de empleados por la diversidad
- Otros beneficios: Oficina Bankinter con condiciones especiales y reparto de beneficios
Barcelona
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