Junior Data Engineer (graph modeling)
Summary
Build and optimize graph-based knowledge structures using Neo4j to power an AI-driven retrieval system in a collaborative startup team.
Degree: Done. Next stop: Building the data infrastructure that powers the digital world. Everyone hypes up the front-end, but we know the truth—it’s the data pipelines that do the heavy lifting. If you're a fresh Data Engineer hungry for massive scale, it's time to trade textbook theory for petabytes of real-world impa
About the role
As a Junior Data Engineer, you will strengthen the technical delivery of an innovative AI project by designing graph-based knowledge structures. You will work within a collaborative team of nine to accelerate the final development phase before the system goes live.
1. Design and implement graph data models: Define entities, relationships, and graph schemas to support knowledge graph use cases and retrieval.
2. Develop and optimize Neo4j-based solutions: Build and refine graph queries, data ingestion logic, and relationship structures supporting knowledge graph construction.
3. Support knowledge graph integration into retrieval layer: Work on entity and relationship extraction and integration with retrieval mechanisms to enable graph-based querying and insights.
We are looking for
Must Haves:
- Experience with Graph Modeling (1-2 years)
- Basic understanding of AI-driven workflows and semantic search
- Degree in Computer Science, IT, or Business Informatics
It is meritorious if you have
- Experience with Databricks or Azure environments
- Previous experience in a project-based IT delivery environment
- Knowledge in German language
- Experience in Neo4J
Personality
- You are solution oriented
- You are ready to take responsibility
- You are proactive and like to work within a team
- You have a strong business mindset
What's in for you
- A structured onboarding process and dedicated mentorship from senior experts to help you grow