Senior Enterprise Knowledge Graph Engineer (Hybrid)

ERNI; Mandaluyong; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Private HMO and insurance from day one

Travel to European ERNI sites

13th-month pay

Training and certifications

Baby basket

Fruit basket

Snacks and coffee

Job summary

ERNI, founded in 1994 and headquartered in Switzerland, invites a Senior Enterprise Knowledge Graph Developer to join our Manila center in Mandaluyong. You will design and scale a unified semantic data layer, bridging enterprise silos and downstream AI applications.

You will work with graph databases like Neo4j, GraphDB, and Stardog, implement SPARQL/Cypher queries, and collaborate with cross-functional teams to ensure high-quality ontologies, data pipelines, and GenAI-enabled solutions.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Knowledge Engineering, or equivalent technical field.
• Experience: 4–6 years in core data engineering or software development, with 2–3 years in production-grade graph databases or semantic web stacks.
• Solid knowledge of W3C semantic web standards (OWL, RDF, SHACL) is preferred.

Responsibilities

• Design, build, and scale the enterprise knowledge graph and semantic data layer.
• Develop and optimize graph queries (SPARQL, Cypher) for real-time use cases.
• Implement data pipelines (batch/real-time) for structured and unstructured data ingestion.
• Collaborate with domain experts and engineers to maintain ontologies and taxonomies.
• Enable GenAI and LLM-driven features via GraphRAG or related approaches.

Skills

RDF/OWL/SHACL

SPARQL/Cypher

Graph databases

Python/Java/Scala

Spark/Kafka

GenAI integration

Ontology design

Data governance

Education

Bachelor’s or Master’s in CS/DS or related

Tools

Neo4j

GraphDB

Stardog

Neptune

Docker

NiFi

Job description

ERNI, founded in 1994 and headquartered in Switzerland, invites a Senior Enterprise Knowledge Graph Developer to join our Manila center in Mandaluyong. You will design and scale a unified semantic data layer, bridging enterprise silos and downstream AI applications.

You will work with graph databases like Neo4j, GraphDB, and Stardog, implement SPARQL/Cypher queries, and collaborate with cross-functional teams to ensure high-quality ontologies, data pipelines, and GenAI-enabled solutions.