Senior Data Engineer

Vertex Agility is hiring a Senior Data Engineer to work on a data platform connecting Knowledge Graphs, Ontology, semantic data, AI systems, and product modules .

We’re looking for someone who is strong in data engineering and data modelling and has experience working with Knowledge Graphs, Ontologies, or graph databases .

Contract Role: 6 Months with potential extension

Location: Europe

What You’ll Work On

• Build and maintain production data pipelines connecting ontology and knowledge-graph data with downstream product and AI modules.
• Design canonical data models, schemas and data contracts for shared entities, relationships and taxonomies.
• Transform semantic/graph data into structured datasets that product engineers, AI engineers and data scientists can consume.
• Manage schema versioning and ensure ontology/taxonomy changes are propagated safely across downstream systems.
• Build data-quality and validation frameworks covering completeness, consistency and referential/semantic integrity.
• Develop integration and regression testing for data and schema changes.
• Support data pipelines for AI/ML, analytics, agentic and retrieval-based workflows.
• Work closely with Ontology, Data Science, AI and Product Engineering teams.

Required Skills

• Strong hands-on experience with Data Engineering, SQL and Python .
• Production experience building ETL/ELT data pipelines , orchestration and monitoring.
• Strong knowledge of data modelling and schema design .
• Experience with AWS or Azure .
• Experience with relational and/or graph data models.
• Experience with data quality, validation, schema evolution and data contracts.

Strongly Preferred

• Knowledge Graph / Ontology / Knowledge Representation experience.
• Experience with Neo4j, Amazon Neptune, Azure Cosmos DB, RDF, OWL, SPARQL or Gremlin .
• Experience with entity resolution, taxonomies or semantic data .
• Experience supporting AI/ML, RAG, LLM or agentic systems .
• Experience converting graph/semantic data into structured datasets for downstream applications.

Ideal Background

We are especially interested in engineers who can bridge the gap between:

Knowledge Graph / Ontology → Data Engineering → Product / AI / ML

If you have strong Data Engineering experience combined with Knowledge Graph, Ontology or Semantic Data exposure, we'd love to connect.

📩 Share your CV / LinkedIn: [email protected]

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