Semantic Data Engineer

We are seeking a Semantic / Data Engineer to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems.

What You'll Do:

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;