Neo4j / Knowledge Graph Engineer

About the Role

Looking for an experienced Knowledge Graph / Neo4j engineer to design, implement and operate graph-based data platforms and integrations. The role involves graph data modelling, building ETL pipelines, and collaborating with data engineering and business teams.

Technical Skills (Must-have)

4–7+ years of experience in knowledge graphs, semantic technologies, or graph databases.

Expert-level experience with Neo4j : Cypher, Neo4j Desktop, Bloom, and Graph Data Science (GDS).

Strong understanding of graph modelling, graph theory, and ontology design.

Hands-on programming with Python, Java, or Scala for data integration and automation.

Experience with ETL platforms and streaming systems such as Kafka and Spark.

Familiarity with API design, microservices architecture, and deploying Neo4j in cloud environments.

Preferred / Nice-to-have

Experience with RDF, OWL and SPARQL (for hybrid graph ecosystems).

Experience integrating Neo4j or graph stores with LLMs, vector embeddings or similarity search stacks.

Hands-on cloud experience (AWS, GCP, Azure) and familiarity with Neo4j Aura.

Containerization and orchestration experience : Docker, Kubernetes and CI / CD pipelines.

Soft Skills

Strong analytical and problem-solving abilities.

Ability to communicate complex graph concepts to non-technical stakeholders.

Collaborative mindset with experience working across data, engineering and business teams.

Mandatory

Relevant hands-on Neo4j project experience.

Able to produce sample data models or explain ontology choices during interview.