Data Engineer (Knowledge Graphs & Semantic Technologies)

Location: Hybrid or onsite in the Tbilisi or Batumi office, Georgia; candidates must already be based in Tbilisi or Batumi. Relocation support is not available.

Company

MIGX is a global consulting company focused on healthcare and life science industries, delivering data platforms, digital transformation, compliance, and managed services projects.

What you will do

• Design, build, and evolve production knowledge graphs in Stardog.
• Model ontologies, taxonomies, and vocabularies using RDF, RDFS, OWL, SKOS, and SHACL.
• Write, optimize, and troubleshoot SPARQL queries, rules, and inference over large graphs.
• Integrate relational, API, file, and semi-structured data through virtual graphs and mappings.
• Work with subject matter experts to convert business questions into competency questions and defensible semantic models.
• Automate graph builds, testing, deployment, data quality, validation, and reconciliation through Python tooling and CI/CD pipelines.

Requirements

• Production experience with Stardog or transferable experience with RDF triplestores such as GraphDB, Amazon Neptune, Virtuoso, or Anzo.
• Strong knowledge of RDF, RDFS, OWL, SKOS, SHACL, and SPARQL, with practical ontology and taxonomy modelling experience.
• Experience mapping and virtualizing relational and semi-structured sources into a graph.
• Solid Python and SQL skills for data preparation, transformation, automation, and troubleshooting.
• Experience with Git-based workflows, CI/CD, data quality, validation frameworks, and test-driven data development.
• Experience with healthcare or life science data, agile environments, and professional working proficiency in English.

Nice to have

• Knowledge of life science ontologies and terminologies such as SNOMED CT, MeSH, ChEBI, UMLS, or LOINC.
• Experience with clinical trials, drug discovery, regulatory, manufacturing, supply chain, or quality data.
• Understanding of GxP, FAIR data principles, GraphRAG, vector search, or LLM-assisted ontology work.
• Exposure to property graphs, data lineage, catalog and governance tooling, infrastructure automation, Docker, or Kubernetes.
• Georgian language skills.

Culture & Benefits

• Hybrid work model with a flexible schedule for different working preferences.
• 24 days of annual leave.
• Full medical insurance for employees and their families.
• Career development opportunities and the ability to influence the company's future.
• Employee-centric culture with an international, supportive, and collaborative environment.