Graph Database Engineer

Graph Database Engineer

Location: Amsterdam, Netherlands (Hybrid – 2-3 days onsite per week)

Industry: Digital Transformation, Data & Analytics Consulting

The Opportunity: We are supporting a global technology and consulting organisation delivering large-scale digital transformation and data modernisation programmes for enterprise clients.

As part of continued growth, we are seeking an experienced Graph Database Engineer to join a high-performing engineering team working on complex knowledge graph, data platform, and cloud transformation initiatives.

This role offers the opportunity to work with cutting‑edge graph technologies, modern cloud environments, and large-scale enterprise datasets while collaborating with architects, data engineers, and software development teams.

• Design, develop, and optimise graph database solutions using technologies such as Neo4j, AWS Neptune, or similar platforms
• Build scalable backend applications using Java and/or Kotlin
• Develop and optimise graph queries using Cypher, SPARQL, and related technologies
• Design data models for complex business domains and interconnected datasets
• Develop and integrate microservices and RESTful APIs
• Collaborate with business stakeholders and technical teams to translate requirements into scalable solutions
• Improve database performance, reliability, and scalability
• Support large‑scale data ingestion and transformation pipelines
• Participate in architecture discussions, code reviews, and engineering best practices

• 8+ years of software engineering experience
• Strong hands‑on experience with Java and/or Kotlin development
• Proven expertise with Graph Database technologies including Neo4j, AWS Neptune, or equivalent platforms
• Strong understanding of graph query languages such as Cypher and/or SPARQL
• Experience with data modelling and complex data structures
• Experience designing and implementing microservices architectures
• Strong REST API development and integration experience
• Experience working within AWS or other cloud environments
• Ability to work in a hybrid environment in Amsterdam

• Knowledge Graph implementation experience
• RDF, OWL, or Semantic Web technologies
• Large‑scale data platform or data pipeline experience
• Docker and Kubernetes
• Graph algorithms and optimisation techniques
• Experience with in enterprise consulting or customer‑facing delivery environments

• Opportunity to work on enterprise‑scale transformation programmes
• Exposure to modern Graph Database and Knowledge Graph technologies
• Collaborative and international engineering environment
• Long‑term career development opportunities
• Competitive compensation package
• Hybrid working model based in Amsterdam

Candidate Profile:
We are particularly interested in engineers who combine strong backend development expertise with deep graph database knowledge and who enjoy solving complex data challenges within large‑scale enterprise environments.