Senior Knowledge Graph Engineer

We are looking for a hands-on production-focused Senior Knowledge Graph Engineer to join our growing AI Center of Excellence responsible for using AI and machine learning to drive innovation across the organization.  In this role you will take the formal domain ontologies designed by our Knowledge Representation Architects and operationalize them into high-throughput multi-hop systems. We welcome applications from European locations with the possibility of remote work. Join us! 

Your work will directly power autonomous AI agents that solve complex sustainability challenges including decarbonisation sustainable procurement compliance and supply chain resilience. You will bridge the gap between unstructured sustainability disclosures and structured graph databases building entity-resolution pipelines that make enterprise data agent-ready.

Your responsibilities will include (but will not be limited to):

• Graph Infrastructure and Ingestion Pipelines

  • Design implement and maintain high-speed GraphRAG ingestion pipelines that transform relational data (ERP SQL) unstructured ESG reports and streaming feeds into operational Labeled Property Graphs (Neo4j Memgraph) and RDF Triple Stores

• A-Box Instantiation and Entity Resolution

  • Build automated Named Entity Recognition (NER) entity linking and deduplication workflows to resolve mismatched vendor profiles material SKUs and facility coordinates into unified canonical graph nodes

• Semantic Federation and External Data Integration

  • Implement automated ETL/ELT pipelines to map and federate internal supply chain data with external open-source ontologies and registries (such as GLEIF for corporate ownership W3C SSN/SOSA for IoT sensors and Copernicus for geo-hazard alerts PROV-O for data provenance)

• GraphRAG and Agent Tooling

  • Partner with AI/ML Engineers to build low-latency GraphRAG retrieval layerswriting optimized Cypher and SPARQL queries implementing NL2Query tools for agents hybrid vector-graph indexing pipelines and Model Context Protocol (MCP) tool endpoints for autonomous LLM agents

• Deterministic Guardrails and Pipeline Validation

  • Operationalize SHACL (Shapes Constraint Language) shapes into automated data quality tests within CI/CD pipelines to prevent hallucinated or non-compliant data mutations from entering the enterprise knowledge graph

• Performance Optimization and GraphOps

  • Optimize multi-hop query performance graph partitioning and database indexing strategies to handle sub-second traversal over billions of nodes and edges

Qualifications :

• Degree in Computer Science Mathematics Engineering or a related technical discipline

• 4 years of production experience building and querying graph databases specifically Labeled Property Graphs (Neo4j Memgraph TigerGraph) or RDF Triple Stores (GraphDB Stardog Virtuoso)

• Strong experience in cloud technology preferably Azure and its ecosystem (e.g. Azure Foundry Azure Bicep AzureML and Azure Cloud Storage)

• Advanced proficiency in Python (RDFLib NetworkX PyGraphistry) for building scalable production-grade data pipelines

• Experience building entity extraction pipelines using modern NLP frameworks (LangChain LlamaIndex spaCy) or LLM-based structured extraction

• Hands-on experience with modern data transformation tools (dbt) and integrating graph databases with vector stores (Qdrant Pinecone pgvector) for hybrid search architectures

• Solid understanding of semantic web standards (RDF RDFS and OWL SKOS SHACL RDF-star SPARQL) graph schema design principles (T-Box vs. A-Box separation) and mapping languages for dealing with heterogeneous data structures (RML R2RML)

• Experience working with domain-specific supply chain carbon accounting (GHG Protocol) or lifecycle assessment (LCA) data structures is a plus

• Direct experience building Model Context Protocol (MCP) servers to expose graph tools to LLM agents is a plus

• Experience with enterprise OBDA approaches at-scale is a plus

Additional Information :

• Offer available only for candidates eligible to work and live in Spain

• Location: Hybrid in Barcelona (4 days per month in the office) / Full remote from Spain 

In return for your expertise we offer:

• Support with all the necessary office and IT equipment
• Flexible working hours
• Wellness allowance for mental and physical wellbeing
• Access to professional mental health support
• Referral bonus policy
• Learning and development 
• Sustainability events and community involvement
• Peer recognition program
• Employee-led resource groups
• Remote work from abroad policy
• Meals and Transportation Vouchers (Coverflex card)
• Dental Benefits 
• Life & Accident Insurance Private Health Insurance
• Paid employee volunteer day
• Paid moving day (1/year)
• Time off: 1 Community Service Day 1 Personal Day
• Summer Hours in July and August (36 hours per week)
• Hybrid Monthly Allowance for electricity and Internet

Our hiring team looks forward to reviewing your CV in English with a guaranteed response to every application. A new job with purpose awaits you! 

Dont fit all the criteria but still think youd be a good candidate Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. Were interested in hiring from a diverse and skilled talent pool regardless of professional and educational background.

Can the hiring process be adjusted to suit my needs Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people people with long-term health conditions and neurodiverse candidates. If you need any adjustments including the provision of interview questions please let the hiring team know.

Our teams strength comes from everyones uniqueness and is founded upon mutual respect. EcoVadis commits to equity inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color national or ethnic origin ancestry citizenship religion beliefs age sex gender identity sexual orientation neurodiversity disability parental status or any other protected characteristic that makes you your application we encourage you to remove personal information such as: photographs marital status number of children religion gender residential postal code university graduation date past medical or parental leave(s) taken nationality (instead please state if you are legally eligible to work in the job region/country) university name (instead please state any degrees obtained and the study major).

Our recruitment processes do not include AI systems that make autonomous decisions impacting individuals rights without human oversight. Inputs and outputs of the system have been validated by humans and answers are based on algorithms that analyze previous data with which the system has been trained. We use SmartRecruiters as our applicant tracking system and to schedule interviews. Gemini is used to summarize notes from interviews and to refine job descriptions and social media messaging. AssessFirst is used to support talent assessment decisions.

Remote Work :

Yes

Employment Type :

Full-time