Data Engineer - Knowledge Graphs & AI - alacant

Overview

As a Knowledge Graph Engineer in Accenture's Data & AI practice, you will design and deliver scalable knowledge graph and AI solutions that transform client data architectures. You’ll work across ingestion, modeling, curation and deployment, guiding junior engineers and exploring generative AI, LLMs, and multimodal approaches. You’ll collaborate with cross-functional teams and client stakeholders to articulate business value and craft a semantic layer that integrates with broader systems. This hybrid, client-focused role emphasizes hands-on delivery and knowledge sharing.

Compensaciones / Beneficios private medical, life and accident insurance

medical services and wellbeing programs

flexible benefits program and employee share purchase plan

flexible working arrangements

personalized learning and career development paths

sustainability initiatives and Accenture Foundation participation

Responsabilidades Build Knowledge Graph components contributing to client data architecture transformations

Design, develop and implement AI/semantic solutions with clean integration

Collaborate with project teams, delivery leads and client counterparts

Assemble evidence for recommended semantic layer solutions

Support Accenture salesEfforts when called on

Continue developing skills in cutting-edge Data & AI solutions and agentic technologies

Requisitos principales Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)

Schema design, ontology management and KG curation

End-to-end KG solutions and graph-based ML models

Data pipeline design/configuration for AI/LLMs

Relational databases, object stores, graph DBs (Stardog, Neo4J, Neptune) and vector DBs

Fluent Spanish with English at least B2/C1

team leadership experience

strong collaboration across engineering, research and product teams

client-facing communication

Python

TensorFlow

PyTorch