Junior AI Data Engineer (graph modeling)
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 impact
Zürich
ASAP (01.10.2026)
Full time, Full-time, 42.5 hours per week
Staffing
Possibility to work remote
About the role
As a Junior AI 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.
Work tasks
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
- English fluent
- Neo4J knowledge
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
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
- 60% Remote work
- A structured onboarding process and dedicated mentorship from senior experts to help you grow
- Central Office with a great view:)
Our recruitment process
This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work.
Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.
Hast du Fragen zu dieser Position?
Für Fragen wende dich bitte an das Recruiting-Team unter zurich@academicwork.ch und gib dabei folgende Referenznummer an: UCFZVC
