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Senior Data Engineer - Knowledge Graphs & AI - sevilla

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Summary

A senior knowledge-engineering role at Accenture: the person leads knowledge graph and AI delivery — designing ontologies, building graph-powered data architectures and LLM-ready pipelines, and guiding a team while engaging clients and supporting sales. Core tech includes RDF, SPARQL, LPG, SHACL, graph databases (Stardog, Neo4j, Amazon Neptune) and vector databases.

Overview

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In this role you lead significant knowledge engineering work within a large program, shaping real-world problems into scalable KG and AI solutions. You drive technical direction, design ontologies, and guide a team across methodology and implementation. You will build graph-powered data architectures, engage with stakeholders, and contribute to thought leadership and sales efforts. The role combines hands-on engineering with strategic impact in a hybrid, cross-functional environment.



Compensaciones / Beneficios
  • Private medical, life, and accident insurance
  • Medical services and wellbeing programs
  • Flexible benefits program
  • Flexible working arrangements
  • Personalized learning and career development paths
  • Profit-sharing programs

Responsabilidades
  • Lead building Knowledge Graph solutions within program scope
  • Design, develop and implement AI and semantic solutions
  • Collaborate with project leaders and client stakeholders to create graph-powered Data & AI offerings
  • Develop strong client relationships and earn trust of advisers
  • Make the business case for the semantic layer solution
  • Contribute to Accenture sales and pre-sales efforts
  • Provide thought leadership on technology trends, opportunities, and risks

Requisitos principales
  • Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
  • Experience in schema design, ontology management, and Knowledge Graphs curation
  • Experience designing Knowledge xkdbapo Graphs solutions and graph-based ML models
  • Experience with end-to-end data pipeline implementations for AI applications (esp. LLMs)
  • Strong knowledge of relational databases, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
  • Proven experience leading a team or workstream within a larger program
  • Fluency in Spanish and high level English (B2 - C1)
  • leadership
  • strong collaboration
  • client-facing communication
  • RDF
  • SPARQL
  • LPG

Skills

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See also

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