Postuler

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.

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

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

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.

Faire partie d-Academic Work

Lorsque vous postulez à cette offre, vous rejoignez les nombreux consultants d-Academic Work. Vous profiterez de nombreux bénéfices mais aurez aussi une équipe de Consultant Manager pour vous soutenir dans cette étape de votre carrière.

Avez-vous des questions à propos de ce poste?

Pour toute question, veuillez contacter l'équipe de recrutement à l'adresse zurich@academicwork.ch et inclure l'identifiant de l'annonce UCFZVC dans votre e-mail