Senior Data Engineer - Knowledge Graphs & AI
6 days ago
Alicante
Overview As a Knowledge Graph Engineer, you lead a significant knowledge engineering scope within a large program, shaping real-world problems into scalable AI and KG solutions. You guide a team, set technical direction, and drive innovation across methodologies and data architectures. You will design and maintain ontologies, justify value to stakeholders, and contribute to end-to-end delivery across business and tech teams. This role sits in Accenture's Data & AI practice in Spain, with a hybrid model and client-facing impact. Compensaciones / Beneficios • Private medical, life, and accident insurance, • Medical services and wellbeing programs, • Flexible benefits program and employee share purchase plan, • Flexible working arrangements and leave options, • Personalized learning and career development paths, • Diversity and inclusion networks Responsabilidades, • Lead the build of Knowledge Graph solutions transforming client data architectures within the program scope, • Design, develop, and implement AI and semantic solutions ensuring cohesive integration, • Collaborate with project leaders, delivery leads, and client stakeholders to create graph-powered Data & AI offerings, • Develop strong client relationships and earn trust with key advisors, • Make the business case for the semantic layer solution and contribute to sales/pre-sales efforts, • Provide thought leadership on technology trends, opportunities, innovations, and risk assessment Requisitos principales, • Bachelor's degree or equivalent, • Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL), • Hands-on schema design, ontology management, KG curation, • Experience designing and developing Knowledge Graphs solutions and graph-based ML models, • End-to-end data pipeline implementations for AI applications (esp. LLMs), • Strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases, • Experience leading a team or workstream within a larger program, • Client relationship building, • Cross-functional collaboration, • Team leadership and mentoring, • Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL), • Ontology management and KG curation, • Graph databases (Stardog, Neo4J, Amazon Neptune)