Position NameGraph EngineerAbout the profileWe are seeking a hands-on Graph Engineer (primarily using Stardog) to design, build, and operate knowledge graph solutions that turn complex, siloed data into a connected, queryable asset for our life science clients. In this role, you will work closely with the Knowledge Management team and client stakeholders to translate data models and business questions into robust, production-grade graph infrastructure.Acting as a technical specialist internally and externally, you will build and maintain Stardog-based knowledge graphs, integrate diverse data sources through modern data engineering pipelines, and ensure the ontologies and data models underpinning our graphs are sound, scalable, and maintainable.You bring strong hands-on experience with Stardog and data engineering, a solid understanding of ontology management concepts (RDF/OWL), and a pragmatic engineering mindset. Experience with Databricks, or in life science IT and regulated environments, is a plus and will be considered a strong asset.Responsibilities1. Knowledge Graph Engineering with StardogDesign, build, deploy, and operate knowledge graphs on Stardog, including data modeling, virtual graphs, and reasoning configurationCreate and maintain Stardog virtual graphs, connecting relational and external data sources to the knowledge graph without physical replicationDesign, write, and maintain SMS (Stardog Mapping Syntax) mappings to translate source schemas into RDF, ensuring accuracy, performance, and maintainabilityWrite and optimize SPARQL queries and Stardog-specific tooling (Stardog Studio, CLI, APIs) for data loading, validation, and troubleshootingConfigure and maintain Stardog security, performance, and scalability settings for production workloadsMonitor,



tune, and troubleshoot graph database performance across ingestion, reasoning, and query layers2. Data Engineering & IntegrationDesign and implement data pipelines to ingest, transform, and map source data (relational, document, file-based) into RDF graph structuresBuild and maintain ETL/ELT processes, including source-to-target mapping definitions, data quality checks, and automated testingIntegrate the knowledge graph with upstream and downstream systems, APIs, and analytics layersApply sound software engineering practices: version control, CI/CD-aware delivery, documentation, and code review3. Ontology & Data Modeling SupportApply ontology management concepts (RDF, RDFS, OWL) to implement and maintain data models designed in collaboration with ontologists and business stakeholdersSupport ontology versioning, validation (e.G. SHACL), and alignment across data sourcesContribute to documentation of data models, mappings, and graph architecture so others can understand, reuse, and build on the workRequirements - Must haveHands-on experience with Stardog (or a comparable enterprise RDF triplestore/graph database)Solid understanding of Stardog virtual graphs and experience connecting external/relational data sources to a knowledge graph without full data replicationPractical experience creating and maintaining SMS (Stardog Mapping Syntax)



mappingsSolid experience in data engineering: building and operating data pipelines, ETL/ELT, and data integrationGood understanding of ontology management concepts, including RDF and OWLComfortable working with SPARQL and graph query optimizationIndependent and reliable, able to take ownership of technical topics and drive them forwardPragmatic, focused on what works in real-world production environments rather than theoretical perfectionWell-organized, documenting your work clearly and digitally so others can understand and reuse itComfortable using AI tools, applying them thoughtfully to improve productivity without over-relianceRequirements - Nice to haveExperience with Azure Stack: ADLSv2, ADF, AKS, etc.Experience with Databricks (Spark-based data engineering, Delta Lake, notebooks)Experience in Life Sciences IT, particularly in regulated environments (e.G. GxP, validated systems, data traceability requirements)Seniority LevelMidLanguagesFluent English written and spoken. Other languages a plus (especially Spanish)What we offerHybrid work model and versátil working schedule that would suit night owls and early birds.25 holiday days per year.Attractive social benefits package.Opportunities for career development and the opportunity to shape the company's future.An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged.Different training programs to support your personal and professional development.Work in a fast growing, international company.Friendly atmosphere and supportive Management team.This is an opportunity to be at the forefront of the semantic data revolution in life …#J-18808-Ljbffr

📌 Graph Engineer (Barcelona)
🏢 MIGx
📍 Barcelona