Junior Data Engineer 100%

Das ist der Job

Junior Data Engineer (graph modeling) 100% Degree: Done.

Darum lohnt es sich

You will work within a collaborative team of nine to accelerate the final development phase before the system goes live.

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 English fluent 1 Year of experience with Neo4J 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.

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) 100% 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. 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. 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. jid77d9a57a jit0728a jiy26a