About the Role
As a Junior Data Engineer, you will enhance the technical delivery of an innovative AI project by designing graph-based knowledge structures. You will collaborate with a team of nine to accelerate the final development phase before the system goes live.
Work Tasks
- Design and implement graph data models: Define entities, relationships, and graph schemas to support knowledge graph use cases and retrieval.
- Develop and optimize Neo4j-based solutions: Build and refine graph queries, data ingestion logic, and relationships that facilitate knowledge graph construction.
- Support knowledge graph integration into the retrieval layer: Work on extracting entities and relationships and integrating them 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
- Fluent in English
It Is Meritorious If You Have:
- Experience with Databricks or Azure environments
- Previous experience in a project-based IT delivery environment
- Knowledge of the German language
- Experience with Neo4j
Personality
- You are solution-oriented.
- You are ready to take responsibility.
- You are proactive and enjoy working within a team.
- You have a strong business mindset.
What's In It 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 :)
Application Process
Apply online using the form below. Please note that only applications matching the job profile will be considered.
Join Academic Work
When you apply for this opportunity, you will become part of the many consultants at Academic Work. You will enjoy numerous benefits and have a Consultant Manager team to support you in this stage of your career.
Questions About the Position?
For any inquiries, please contact the recruitment team at zurich@academicwork.ch and include the job advertisement ID UCFZVC in your email.