Data Engineer
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As a Knowledge Graph Engineer within Accenture’s Data & AI practice, you will lead a substantial knowledge engineering scope to shape scalable AI and KG solutions for complex client programs. You’ll design and govern ontologies, drive end-to-end delivery, and build graph-powered data offerings with cross-functional teams. You will influence strategy, contribute to sales and thought leadership, and partner with clients to demonstrate business value. This hybrid role offers collaboration across Spain-based offices in Barcelona or Madrid, with opportunities to innovate at scale.
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
- Lead the build of Knowledge Graph solutions transforming client data architecture within program scope
- Design, develop, and implement AI and semantic solutions with cohesive integration
- Collaborate with project leaders and stakeholders to create graph-powered Data & AI offerings
- Develop strong client relationships and earn trust of key advisors
- Make the business case for the semantic layer solution to clients
- Contribute to Accenture sales and pre-sales efforts
- Provide thought leadership on technology trends, opportunities, risks, and constraints
- Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
- Schema design, ontology management, Knowledge Graph curation
- End-to-end data pipeline implementations for AI (esp. LLMs)
- Experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
- Experience leading a team or workstream within a larger program
- Fluency in Spanish and English (B2-C1)
- Cross-functional collaboration
- Client-facing communication
- Team leadership and mentorship
- Cloud platforms (AWS, Azure, GCP)
- Python; TensorFlow; PyTorch
- ETL frameworks (Apache NiFi, Airflow)
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