Junior AI Data Engineer

Academic Work Switzerland SA; Zürich; Hybrid; CHF 70.000 - 100.000; Vollzeit

Benefits dieser Stelle

60% Remote work

Structured onboarding + mentorship

Central Office with a great view

Zusammenfassung

Academic Work Switzerland SA is seeking a Junior AI Data Engineer to design graph-based knowledge structures and strengthen the delivery of an innovative AI project. You will work in a nine-person team to accelerate the final development phase before go-live.

The role focuses on graph modeling, Neo4j-based solutions, and integration with retrieval layers, with 60% remote work and strong mentorship from senior experts.

Qualifikationen

• 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.

Aufgaben

• Design and implement graph data models: Define entities, relationships, and graph schemas to support knowledge graph use cases.
• Develop and optimize Neo4j-based solutions: Build and refine graph queries, data ingestion logic, and relationship structures.

Kenntnisse

Graph Modeling

Neo4j

English fluent

AI workflows

Ausbildung

Degree in Computer Science/IT/Business Informatics

Tools

Neo4j

Databricks

Azure

Jobbeschreibung

Junior AI Data Engineer

Academic Work Switzerland SA Vacant since : 03.09.2026 8005 Zürich (ZH) 100% By agreement Permanent

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
Junior AI Data Engineer (graph modeling)
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.

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.

• Work location 8005 Zürich (ZH)
• Workload 100%
• Employment start By agreement
• Employment duration Permanent

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