Senior Knowledge Graph Data Engineer

SELECT*; Italia; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading recruiting firm is seeking a Senior Knowledge Graph Data Engineer for XTEL in Italy. This strategic role involves designing and implementing a next-generation knowledge graph platform to support AI-driven systems. Candidates should have extensive experience in data architecture and knowledge graph technologies, with a focus on scalability and integration.

Competenze

• At least 7 years of experience in data architecture.
• 3+ years focused on knowledge graphs or graph data platforms.
• Advanced proficiency in English.

Mansioni

• Design and lead the architecture of the knowledge graph platform.
• Integrate data from diverse sources into graph-based models.
• Collaborate with ontology engineers to align models with data.

Conoscenze

Data modeling

Graph query languages

Data integration

Communication

Formazione

Bachelor’s or Master’s degree in Computer Science, Data Engineering

Strumenti

Neo4j

GraphDB

Amazon Neptune

Descrizione del lavoro

SELECT* is a professional team of recruiting specialists who are searching for talents in Ukraine, Europe, and the USA. Currently, we are looking for a Senior Knowledge Graph Data EngineerforXTEL.

Join XTEL as a Senior Knowledge Graph Data Engineer to design and implement the next-generation data infrastructure that powers AI-driven systems. Lead the architecture, integration, and scaling of our enterprise knowledge graph to support intelligent search, reasoning, and LLM-powered agents. Collaborate with ontology engineers, AI developers, and data teams to align business logic with semantic architecture. This is a strategic technical role with end-to-end ownership of the knowledge graph stack.

Key Responsibilities

• Design and lead the architecture of our knowledge graph platform, ensuring scalability, performance, and semantic interoperability.
• Integrate data from diverse sources (structured, unstructured, relational, etc.) into graph-based models aligned with business ontologies.
• Collaborate with ontology engineers to align conceptual models with data infrastructure and schema implementations.
• Define best practices for graph data ingestion, modeling, indexing, versioning, and querying (e.g., SPARQL, GraphQL, Cypher).
• Select and configure graph databases and associated technologies (e.g., RDF triple stores, property graphs, reasoning engines).
• Work closely with AI teams to enable LLM agents and semantic search over the knowledge graph.
• Mentor team members and guide technical decision-making around graph modeling, tooling, and standards.
• Stay current with trends in semantic technologies, graph databases, and data architecture.

Qualifications

• A Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• At least 7 years of experience in data architecture, with 3+ years focused on knowledge graphs or graph data platforms.
• Deep knowledge of RDF, OWL, or property graph technologies (e.g., Neo4j, GraphDB, Stardog, Blazegraph, Amazon Neptune).
• Hands-on experience designing and maintaining scalable knowledge graph systems across large or complex data domains.
• Proficiency in data modeling, transformation, integration (ETL/ELT), and graph query languages (SPARQL, Cypher, etc.).
• Strong understanding of the interplay between ontologies, semantics, and graph data infrastructure.
• Advanced proficiency in English, with excellent written and verbal communication skills.

Nice to have

• Experience deploying reasoning engines or hybrid symbolic-ML systems.
• Familiarity with integrating LLMs or AI agents on top of knowledge graphs.

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