Junior Data Engineer
Academic Work Switzerland SA · Zürich, Zürich, Switzerland
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
Junior 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 Data Engineer (graph modeling)
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.
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. jpidee26509jm jit0832jm jiy26jm
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Where data engineers move nextevery measured route out
- Data Architect → Data Engineer48% readiness
- Data Analyst → Data Engineer31% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 26 open data architect roles92% readiness from data engineer
- 573 open solutions architect roles62% readiness from data engineer
- 231 open data analyst roles60% readiness from data engineer
- 30 open database administrator roles57% readiness from data engineer
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