Knowledge Graph Engineer: Semantic Data & RDF Expert

Capgemini; Viseu; Híbrido; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work

Health & life insurance

Bonuses for recommendations

Training and certifications

Resumo da oferta

A Capgemini Engineering procura um Engenheiro de Dados Semânticos para desenhar modelos RDF, mapear dados e desenvolver pipelines em Python. O papel envolve definir relacionamentos semânticos, validação de qualidade de mapeamento e documentação detalhada.

Esperam-se 2-5 anos de experiência, proficiência em Python, SPARQL/SHACL e familiaridade com ontologias de Life Sciences. Trabalho híbrido com projetos nacionais e internacionais.

Qualificações

• Academic or professional background in Bioinformatics, Computational Biology, Life Sciences, Biomedical Engineering or related discipline.
• 2-5 years of experience in data engineering, software engineering, semantic technologies or related field.
• Strong Python programming and data manipulation skills.
• Practical understanding of RDF subject-predicate-object modelling.
• Experience with Git and modern software development practices.
• Familiarity with Life Sciences ontologies such as Gene Ontology, MONDO, HPO, EFO, UBERON, ChEBI or related standards.
• Experience with entity linking, terminology mapping or controlled vocabulary management.
• Knowledge of semantic-web libraries such as RDFLib, OWLReady2 or equivalent tools.
• Familiarity with cloud platforms, APIs, Docker and automated data pipelines.
• Exposure to knowledge-graph applications in search, analytics, Machine Learning or Generative AI

Responsabilidades

• Design RDF-based data models, schemas and reusable semantic structures.
• Map structured and unstructured data to controlled vocabularies and ontologies.
• Develop Python pipelines for data transformation, entity resolution and RDF generation.
• Define semantic relationships, identifiers, provenance and evidence.
• Write SPARQL queries to explore, test and analyse knowledge graphs.
• Implement automated semantic quality checks and mapping validation.
• Collaborate with subject matter experts to translate domain concepts into technical models.
• Produce clear documentation covering mappings, modelling decisions and validation rules.
• Support the integration of semantic assets into downstream data, analytics and AI solutions.

Conhecimentos

Python programming

Data manipulation

English communication

Knowledge of semantic technologies

Formação académica

Bachelor's degree in Bioinformatics or Life Sciences

Ferramentas

RDFLib

OWLReady2

SPARQL

SHACL

Docker

Git

Descrição da oferta de emprego

A Capgemini Engineering procura um Engenheiro de Dados Semânticos para desenhar modelos RDF, mapear dados e desenvolver pipelines em Python. O papel envolve definir relacionamentos semânticos, validação de qualidade de mapeamento e documentação detalhada.

Esperam-se 2-5 anos de experiência, proficiência em Python, SPARQL/SHACL e familiaridade com ontologias de Life Sciences. Trabalho híbrido com projetos nacionais e internacionais.