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 within 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 relationship structures to support knowledge graph construction.
- 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
- Advanced knowledge of Graph Modeling
- Basic understanding of AI-driven workflows and semantic search
- Degree in Computer Science, IT, or Business Informatics
- Proactive and self-driven approach to technical problem-solving
- Proficiency in English
It Would Be Meritorious If You Have
- Good knowledge of Neo4j
- Experience with Databricks or Azure environments
- Previous experience in a project-based IT delivery environment
Personality
- You are solution-oriented
- You are ready to take responsibility
- You are proactive and enjoy working within a team
What’s In It For You
- 60% Remote work
- A structured onboarding process and dedicated mentorship from senior experts to enhance your growth
- Central Office with a great view :)
Application
Apply online using the form below. Please note that only applications matching the job profile will be considered.
Our Recruitment Process
This recruitment process is managed by Academic Work. All inquiries regarding the position should be directed to Academic Work.
The selection process is ongoing, and the advertisement may close before the recruitment process is completed if we move forward to the next phase. The process includes two assessments: one personality test and one cognitive test. These assessments are designed to help identify the right talent for the right position, promoting equality, diversity, and a fair process.
Join Academic Work
When you apply for this position, you become a part of the numerous consultants at Academic Work. You will enjoy a range of benefits and have a Consultant Manager team to support you in this stage of your career.
Questions About This Position?
For any questions, please contact the recruitment team at zurich@academicwork.ch and include the advertisement ID UCFZVC in your email.