Data & AI Engineer | Data & AI Engineer
COCUS AG
Job Summary
This role requires a seasoned professional to design, implement, and maintain cutting-edge data and AI solutions, primarily focusing on Knowledge Graph technology. Day-to-day responsibilities include the design and creation of robust ETL and AI utility programs, implementing sophisticated data models for both relational and graph databases (including Neo4j/Cypher), and orchestrating inference services using prompt design and vector stores. A key focus is on CI/CD automation, utilizing Docker and automated testing frameworks, and analyzing diverse document formats to feed the Knowledge Graph solution. The ideal candidate must possess several years of experience as both a Data Engineer and Data Scientist, demonstrating excellent Python proficiency, practical experience with local LLMs and Embedding Engineering, and expertise in Airflow DAG orchestration. The position offers an unlimited contract, a cooperative and informal culture, and a hybrid working model based in Düsseldorf, allowing direct influence on innovative global projects.
Required Skills
Education
Master's Degree in Applied Mathematics and Computer Science
Experience
- Several years of experience as a Data Engineer & Data Scientist
- Experience building customized data pipelines and analyzing complex datasets for various use cases
- Demonstrated experience handling data securely (encryption, Git-Secret) and setting up CI/CD pipelines
- Practical experience with local LLMs, including Embedding Engineering
Languages
Additional
- Based in Düsseldorf office (hybrid working model with 2 days home office per week)