Semantics, Knowledge Graph Engineer

EUROPEAN DYNAMICS

. Analyse and maintain RDF/TTL data models and vocabularies .

Posted 10/27/2026full-timeRemote • GreeceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in RDF, SPARQL, and data modeling, with a strong focus on semantic data consistency and quality. Proficient in collaborating with engineering teams to integrate semantic logic and support data workflows.

Highest-signal resume keywords

RDFSPARQLData ModellingOntology DesignKnowledge Graphs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RDFSPARQLData ModellingOntology DesignTTLXMLJSONCSVSemantic InteroperabilityData Analysis

Tools & Technologies

TriplestoresGraph DatabasesPythonApache Airflow

Industry Keywords

Semantic DataData QualityEU Data StandardsInteroperability FrameworksRegulatory Constraints

Tech Stack

Tools & technologies

AirflowApachePython

About the role

Key responsibilities & impact

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

What you’ll need

3+ years of experience working with semantic or data-centric systems
Strong knowledge of RDF, RDFS, OWL
Strong knowledge of SPARQL
Experience with knowledge graphs or semantic interoperability platforms
Experience with 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
Experience with triplestores or graph databases is nice-to-have
Familiarity with EU data standards or interoperability frameworks is nice-to-have
Python scripting for data processing and/or Apache Airflow is nice-to-have
Experience in projects with regulatory or standards-driven constraints is nice-to-have
Submit a detailed CV in English

Benefits

Comp & perks

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