Data Engineer: Knowledge Graphs & Semantic Tech

Migx; Barcelona; Híbrido; EUR 60.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

25 holidays per year

Free English classes

Career development

Growth company

Training programs

Friendly team

Descripción de la vacante

Migx in Barcelona, Spain, is seeking a Data Engineer specialized in knowledge graphs and semantic technologies to own the semantic layer end-to-end within our Data and AI Engineering team. This role is hands-on and you will shape the approach with clients and colleagues, not just implement a predefined specification.

You will build knowledge graphs in Stardog linking life science data across research, clinical, regulatory and operational domains, contributing to data mesh and data fabric

Formación

• Hands-on experience delivering production knowledge graph solutions with Stardog.
• Strong command of semantic web standards: RDF, RDFS, OWL, SKOS, SHACL and SPARQL.
• Practical ontology and taxonomy modelling from messy data to production model.
• Experience mapping and virtualising relational and semi-structured sources into a graph.
• Solid Python and SQL for data preparation, transformation, automation and troubleshooting.
• Comfortable with Git-based workflows and CI/CD (GitHub Actions or Azure DevOps).
• Experience working with life science or healthcare data, and familiar with regulatory expectations.
• Autonomy and ownership: scope your own work, defend approach, bring the team along.
• Knowledge of data quality, validation frameworks, and test-driven data development.
• Team-first mindset and experience in agile environments (Scrum or Kanban).

Responsabilidades

• Design, build and evolve knowledge graphs in Stardog from conceptual model through production deployment.
• Model domain ontologies, taxonomies and vocabularies using RDF/RDFS/OWL/SKOS and SHACL constraints.
• Write, optimise and troubleshoot SPARQL queries, rules and inference over large graphs.
• Integrate heterogeneous sources into the graph using virtual graphs and mappings (R2RML) from relational databases, APIs, files and semi-structured data.
• Run discovery sessions with subject matter experts, turning business questions into a defensible semantic model.
• Align internal models with life science standards and public ontologies, manage identifier mapping and entity resolution.
• Automate graph builds, tests and deployments through CI/CD pipelines and Python tooling.
• Embed data quality, validation and reconciliation checks into the graph lifecycle.
• Document models and enable governance, lineage, and reusable semantic assets that outlive the project.
• Work in agile teams, contributing to standups, retrospectives, and continuous improvement.

Conocimientos

Stardog KG

RDF/OWL/SKOS

SPARQL

Ontology modelling

Data integration

Python

SQL

Git CI/CD

Healthcare data

Herramientas

GraphDB

Amazon Neptune

Virtuoso

Anzo

Descripción del empleo

Migx in Barcelona, Spain, is seeking a Data Engineer specialized in knowledge graphs and semantic technologies to own the semantic layer end-to-end within our Data and AI Engineering team. This role is hands-on and you will shape the approach with clients and colleagues, not just implement a predefined specification.

You will build knowledge graphs in Stardog linking life science data across research, clinical, regulatory and operational domains, contributing to data mesh and data fabric