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Open nowPosted 9 hours ago

Graph & Semantic Data Consultant

convotisiberia17 open roles

Where
Málaga, Spain; Alicante, Spain
Work mode
Hybrid
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Your applicationOpen nowGraph & Semantic Data Consultantconvotisiberia · Málaga, Spain; Alicante, Spain

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  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 9 hours ago

The posting

Teralco Group nace en 2002 y se convierte en CONVOTIS Iberia en 2024. Desde entonces, hemos estado comprometidos con ayudar a las empresas a mejorar su rendimiento y eficiencia a través del uso de tecnología innovadora. Con nuestros más de 20 años de experiencia, hemos ayudado a numerosas compañías a implementar soluciones tecnológicas.

En CONVOTIS, Tú sumas con tu experiencia y habilidades, Tú importas en nuestra toma de decisiones y Tú eliges el camino para tu desarrollo profesional.

¿Cómo es un día en CONVOTIS Iberia?

Tu jornada laboral tiene flexibilidad así que puedes ajustar tu horario dentro de un margen, que será el que más te convenga. Si haces tiempo de más un día o sales antes por necesidades personales, lo compensas otro día sin problemas. Además, puedes decidir si quieres trabajar desde la oficina o desde casa.

En la oficina encontrarás café, caramelos y un futbolín para relajarte y compartir buenos momentos con tus compañeros. Contamos también con seguro médico y retribución flexible.

Durante el año podrás participar en eventos internos, actividades al aire libre, jornadas lúdicas y partidos de pádel. Queremos que disfrutes tu tiempo y tengas vacaciones cuando las necesites, siempre acompañado de un equipo cercano y colaborativo.

En cuanto a tu desarrollo profesional, te apoyamos en tu crecimiento: tendrás acceso a formaciones, clases de inglés y certificaciones. Valoramos tu aprendizaje y tus aspiraciones.

Todo esto forma parte de nuestra filosofía #CONVOTISLife. Crecemos contigo.

Requirements

At CONVOTIS Iberia we are looking for a hands-on practitioner in graph data modelling and semantic technologies, working embedded in delivery teams under the guidance of a Senior Data Architect. Contributes to the design, implementation, and testing of knowledge graph solutions and ontology-based data integrations across industries and cloud platforms. A profile that combines technical execution capability with growing client-facing skills.

Key responsibilities:

  • Implement graph data models under architectural guidance: property graphs, RDF/OWL ontologies, entity-relationship schemas.
  • Develop and optimize graph queries in SPARQL, Gremlin, and/or Cypher for data retrieval, traversal, and analytics use cases.
  • Build and maintain data ingestion pipelines feeding graph databases from structured and semi-structured enterprise sources.
  • Apply ontology validation rules using SHACL and support ontology versioning and maintenance processes.
  • Integrate graph layers with data catalogues, metadata platforms, and downstream analytics or AI consumers.
  • Participate in testing and validation of graph models against business requirements: entity coverage, relationship accuracy, inference correctness.
  • Support pre-sales activities: contribute to technical sections of proposals, prepare PoC environments, document reference architectures.
  • Proactively develop expertise across graph platforms and semantic standards; share knowledge within the practice.

Required Skills & Experience:

  • 2–4 years of experience in data roles, with hands-on exposure to graph databases or ontology engineering.
  • Working knowledge of at least one graph database platform: Neo4j, Amazon Neptune, Azure Cosmos DB, StarDog or similar.
  • Practical experience with SPARQL and/or Gremlin / Cypher.
  • Understanding of ontology fundamentals: RDF, RDFS, OWL — able to read and write ontology definitions.
  • Solid foundation in data engineering: ETL/ELT pipelines, data modelling, cloud storage (AWS S3 / Azure ADLS).
  • Familiarity with at least one cloud platform (AWS or Azure) at a working level.
  • Analytical mindset: able to map business concepts to formal graph structures.
  • Good written and verbal communication in English; additional languages valued.

Preferred Background:

  • Academic background in Computer Science, Information Science, Linguistics, or related fields with exposure to knowledge representation or semantic web.
  • Exposure to GenAI or LLM integration concepts: understanding of how graph structures support retrieval-augmented generation or semantic search.
  • Familiarity with data governance or metadata management platforms.
  • Certification or coursework in graph technologies (Neo4j, cloud platforms) valued.
  • Experience in any industry vertical with complex domain models: financial services, energy, healthcare, retail.

Conócenos en el siguiente vídeo

Igualdad de Oportunidades en el Empleo

En CONVOTIS Iberia, estamos firmemente comprometidos con la igualdad de oportunidades en el empleo, asegurando un entorno inclusivo y respetuoso para todas las personas, sin importar su raza, nacionalidad, etnia, color de piel, religión, sexo, orientación sexual, edad, ciudadanía, estado civil, discapacidad, género, identidad o expresión de género, o su condición de veterano.

Asimismo, en cumplimiento con lo establecido en el Real Decreto 1026/2024 y en nuestro compromiso con los más altos estándares de diversidad e inclusión, establecemos criterios claros y concretos para garantizar un proceso de selección y contratación que priorice la formación y la idoneidad de cada persona para el puesto de trabajo. Ponemos especial atención en la no discriminación por orientación sexual, identidad de género o expresión de género.

En CONVOTIS Iberia, creemos que la diversidad enriquece nuestros equipos y nos impulsa hacia un futuro más justo, equitativo e inclusivo.

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