Semantic Data Engineer
EUROPEAN DYNAMICS
full-time
Posted on:
Location Type: Remote
Location: Italy
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About the role
- Analyse and maintain RDF/TTL data models and vocabularies;
- Develop, optimise, and maintain SPARQL queries;
- Support data ingestion, transformation, and validation workflows;
- Ensure consistency and correctness of semantic data across the platform;
- Collaborate with backend engineers to integrate semantic logic into application flows;
- Assist in documenting semantic models, assumptions, and constraints;
- Participate in troubleshooting data quality and reasoning issues.
Requirements
- 3+ years of experience working with semantic or data-centric systems;
- Strong knowledge of:
- RDF, RDFS, OWL
- SPARQL
- Experience with:
- Knowledge graphs or semantic interoperability platforms;
- Data modelling and ontology design;
- Comfortable working with structured data formats:
- TTL, XML, JSON, CSV
- Ability to analyse existing models and understand implicit domain logic.
- Nice-to-Have:
- Experience with triplestores or graph databases;
- Familiarity with EU data standards or interoperability frameworks;
- Python scripting for data processing and/or Apache Airflow;
- Experience in projects with regulatory or standards-driven constraints.
Benefits
- Competitive full-time salary
- Private Health Coverage on the Company’s group program
- Flexible Working Hours
- Top-of-the-Line Tools
- Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities
- Career Growth: Work with some of the most innovative and exciting specialists in the industry
- Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
RDFRDFSOWLSPARQLdata modellingontology designTTLXMLJSONCSV
Soft Skills
collaborationtroubleshootinganalysis