Dein persönlicher KI-Karriere-Agent
Data Architect / Knowledge Engineer(m/w/x)
Designing and setting up database and data ingestion pipelines for a European research infrastructure. MSc/PhD or equivalent experience with ontologies and knowledge graphs required. 3-year contract with family-based financial allowances.
Anforderungen
- Motivation and structured, hands-on approach
- Enjoyment of building reliable systems
- MSc/PhD or equivalent experience
- Relevant field degree (data/computer science, bioinformatics, information systems)
- Familiarity with metadata, ontologies, controlled vocabularies, persistent identifiers
- Advanced Python programming skills
- Experience designing/maintaining production databases
- Experience building APIs for downstream applications
- Experience with CI/CD data pipelines
- Experience with data quality practices
- Experience with version control frameworks (GitHub/GitLab)
- Effective work with multiple stakeholders
- International setting work experience
- Fluency in written and spoken English
- Experience in bioimaging or life sciences data handling
- Experience in life sciences metadata handling
- Knowledge graph experience
- Semantic web experience
- Linked data standards experience (RDF, SPARQL, SHACL)
- Hybrid retrieval approaches experience (GraphRAG)
- Experience with graph databases (Neo4J)
- Experience with research infrastructures
- Experience with FAIR data practices
- Experience managing service catalogues in scientific environments
- Hands-on experience with containerization (Docker)
- Hands-on experience with orchestration (Kubernetes)
Aufgaben
- Design and set up the database and data ingestion pipeline
- Maintain the AI4Access ontology-driven knowledge base
- Work with the Euro-BioImaging Bio-Hub team on ontology development
- Develop knowledge graphs with the Euro-BioImaging community
- Create technical interfaces between the knowledge base and Research Navigator
- Integrate the knowledge base with Euro-BioImaging Nodes’ systems
- Design an ontology-aligned data model
- Implement the data model’s technical representation
- Version and document the data model
- Translate service descriptions into structured form
- Collaborate with imaging specialists and Node-facing colleagues
- Support integration of semantic and metadata elements
- Work with domain experts on controlled vocabularies and identifiers
- Develop and maintain automated ETL workflows
- Handle data collection, annotations, transformations, and validation
- Ensure repeatable data updates
- Implement robust APIs for LLM applications
- Optimize APIs for querying services, capabilities, and constraints
- Ensure high reliability and transparency in API queries
- Collaborate with the Seat team on integration and testing
- Participate in release planning and technical documentation
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- Postgres
- GitHub
- GitLab
- Docker
- Kubernetes
- Neo4J
- RDF
- SPARQL
- SHACL
Benefits
Sicherer Arbeitsplatz
- 3 years contract length
Familienfreundlichkeit
- Financial allowances based on family circumstances
- Home
- Jobs in Deutschland
- Heidelberg
- Data Architect / Knowledge EngineerData Architect / Knowledge Engineer bei Euro-BioImaging ERIC
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- Data Architect / Knowledge EngineerData Architect / Knowledge Engineer bei Euro-BioImaging ERIC
Data Architect / Knowledge Engineer(m/w/x)
Designing and setting up database and data ingestion pipelines for a European research infrastructure. MSc/PhD or equivalent experience with ontologies and knowledge graphs required. 3-year contract with family-based financial allowances.
Anforderungen
- Motivation and structured, hands-on approach
- Enjoyment of building reliable systems
- MSc/PhD or equivalent experience
- Relevant field degree (data/computer science, bioinformatics, information systems)
- Familiarity with metadata, ontologies, controlled vocabularies, persistent identifiers
- Advanced Python programming skills
- Experience designing/maintaining production databases
- Experience building APIs for downstream applications
- Experience with CI/CD data pipelines
- Experience with data quality practices
- Experience with version control frameworks (GitHub/GitLab)
- Effective work with multiple stakeholders
- International setting work experience
- Fluency in written and spoken English
- Experience in bioimaging or life sciences data handling
- Experience in life sciences metadata handling
- Knowledge graph experience
- Semantic web experience
- Linked data standards experience (RDF, SPARQL, SHACL)
- Hybrid retrieval approaches experience (GraphRAG)
- Experience with graph databases (Neo4J)
- Experience with research infrastructures
- Experience with FAIR data practices
- Experience managing service catalogues in scientific environments
- Hands-on experience with containerization (Docker)
- Hands-on experience with orchestration (Kubernetes)
Aufgaben
- Design and set up the database and data ingestion pipeline
- Maintain the AI4Access ontology-driven knowledge base
- Work with the Euro-BioImaging Bio-Hub team on ontology development
- Develop knowledge graphs with the Euro-BioImaging community
- Create technical interfaces between the knowledge base and Research Navigator
- Integrate the knowledge base with Euro-BioImaging Nodes’ systems
- Design an ontology-aligned data model
- Implement the data model’s technical representation
- Version and document the data model
- Translate service descriptions into structured form
- Collaborate with imaging specialists and Node-facing colleagues
- Support integration of semantic and metadata elements
- Work with domain experts on controlled vocabularies and identifiers
- Develop and maintain automated ETL workflows
- Handle data collection, annotations, transformations, and validation
- Ensure repeatable data updates
- Implement robust APIs for LLM applications
- Optimize APIs for querying services, capabilities, and constraints
- Ensure high reliability and transparency in API queries
- Collaborate with the Seat team on integration and testing
- Participate in release planning and technical documentation
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- Postgres
- GitHub
- GitLab
- Docker
- Kubernetes
- Neo4J
- RDF
- SPARQL
- SHACL
Benefits
Sicherer Arbeitsplatz
- 3 years contract length
Familienfreundlichkeit
- Financial allowances based on family circumstances
Über das Unternehmen
Euro-BioImaging ERIC
Branche
Science
Beschreibung
Euro-BioImaging ERIC is a European research infrastructure providing life scientists open access to advanced imaging technologies and data services.
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