GraphDB Specialist / Data Engineer Neo4j & Knowledge Graph (Göteborg)

In this role, you will work with complex data structures, security-related entities and relationships, building scalable graph database solutions. You will also contribute to integrating graph data with AI and Large Language Model (LLM) pipelines using GraphRAG and vector-graph hybrid querying.

You will collaborate with technical teams to develop reliable data architecture, automate ingestion workflows and ensure secure and efficient access to graph data.

Key Responsibilities

1. 01Design and develop Knowledge Graph architecture, ontology and data models.
2. 02Build and maintain graph data ingestion pipelines.
3. 03Implement GraphRAG and vector-graph hybrid querying to integrate graph data with LLM-based applications.
4. 04Develop and manage graph database solutions using Neo4j and Azure Cosmos DB (Gremlin).
5. 05Integrate data ingestion and graph update workflows into CI/CD pipelines.
6. 06Manage graph database configurations, updates and data relationships.
7. 07Ensure data quality, consistency, scalability and secure access to graph information.
8. 08Collaborate with engineering, AI and cybersecurity teams.

Required Qualifications

1. 01Strong hands-on experience with graph databases, particularly Neo4j.
2. 02Experience with Azure Cosmos DB and Gremlin API.
3. 03Strong background in data engineering and data modelling.
4. 04Experience designing and developing Knowledge Graphs and ontologies.
5. 05Experience building and maintaining data ingestion pipelines.
6. 06Knowledge of CI/CD processes and integration of data workflows into automated pipelines.
7. 07Understanding of graph querying, database architecture and data relationships.
8. 08Good communication and collaboration skills.
9. 09Professional proficiency in English.

Preferred Qualifications

1. 01Experience with GraphRAG and Retrieval-Augmented Generation (RAG).
2. 02Experience integrating graph databases with LLM applications.
3. 03Knowledge of vector databases and hybrid search solutions.
4. 04Experience in cybersecurity, threat intelligence or security data analytics.
5. 05Experience with cloud-based data engineering solutions.