data engineer for knowledge graphs and AI

Accenture is a global professional services company that helps businesses, public administrations, and other organizations develop their digital core, optimize operations, accelerate revenue growth, and improve services for citizens.

• Lead the development of Knowledge Graph solutions that transform client data architecture within program scope
• Direct the design, development, and implementation of AI and semantic solutions
• Work with project leaders, delivery leads, and client stakeholders to create graph-powered Data & AI offerings
• Develop client relationships and earn the trust of key advisors
• Make the business case for recommended semantic layer solutions
• Contribute to sales and pre-sales efforts
• Provide thought leadership on technology trends, opportunities, innovations, limitations, risks, and concerns
• Lead a significant knowledge engineering scope and function within a large program
• Shape how work translates real-world problems into scalable AI and Knowledge Graph solutions, and set technical direction
• Guide exploration and implementation of new methodologies, model-building techniques, and algorithms
• Apply new techniques to business problems, use cases, and scenarios to drive innovation
• Design, evaluate, and maintain ontologies, and establish standards
• Demonstrate business and technology value through methodologies and data architectures
• Publish or present perspectives beyond the immediate project
• Drive end-to-end delivery across business and technical teams

• A bachelor's degree or equivalent in Computer Science, Mathematics, Physics, Engineering, or a related field
• Meet at least 4 of the listed qualifications: Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL); schema design, ontology management, and Knowledge Graph curation; designing and developing Knowledge Graph solutions and graph-based ML models; end-to-end data pipeline implementation for AI applications, especially LLMs; relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases; leading a team or workstream within a larger program
• Fluent Spanish and English proficiency at B2–C1 level
• Candidates must reside in Spain and hold a valid permit to work in Spain
• Будет плюсом: cloud platforms (AWS, Azure, GCP), Python, Tensorflow, PyTorch, ETL pipeline tools (Apache NiFi, Airflow), NLP, search techniques, prompt engineering, LLMs for enterprise-scale applications, team lead experience, collaboration across engineering, research, and product teams in multiple time zones, external client-facing consulting experience, a Ph.D. in a related field, diverse ML techniques, agentic systems

• Private medical, life, and accident insurance
• Medical services and wellbeing programs
• Flexible benefits program and employee share purchase plan
• Flexible working arrangements, including working hours, additional leave days, and vacation options
• Personalized learning and career development paths
• Sustainability initiatives and opportunities to participate in the Accenture Foundation
• Employee diversity and inclusion networks
• Additional benefits, including special banking conditions through the Bankinter office and profit-sharing programs