{"id":1153995,"url":"https://alion.io/job/ecovadis-senior-knowledge-graph-engineer-3","title":"Senior Knowledge Graph Engineer","company":{"id":1975,"name":"EcoVadis","domain":"ecovadis.com","url":"https://alion.io/company/ecovadis","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":70000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GraphDB","optional":false},{"name":"GraphRAG","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Memgraph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Neo4j","optional":false},{"name":"NER","optional":false},{"name":"NLP","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"spaCy","optional":false},{"name":"SQL","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-09-22T06:40:42Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-18T22:26:42Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Work smart, have fun and make an impact!\nEcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.\nWhy apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution.\nLearn more about our team and culture on EcoVadis careers page.\n 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.\nYour 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.\nYour responsibilities will include (but will not be limited to):\nGraph Infrastructure and Ingestion Pipelines\nDesign, 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\n\nA-Box Instantiation and Entity Resolution\nBuild 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\n\nSemantic Federation and External Data Integration\nImplement 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)\n\nGraphRAG and Agent Tooling\nPartner with AI/ML Engineers to build low-latency GraphRAG retrieval layers-writing 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\n\nDeterministic Guardrails and Pipeline Validation\nOperationalize 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\n\nPerformance Optimization and GraphOps\nOptimize multi-hop query performance, graph partitioning, and database indexing strategies to handle sub-second traversal over billions of nodes and edges\n\n Degree in Computer Science, Mathematics, Engineering, or a related technical discipline\n\n4+ years of production experience building and querying graph databases, specifically Labeled Property Graphs (Neo4j, Memgraph, TigerGraph) or RDF Triple Stores (GraphDB, Stardog, Virtuoso)\n\nStrong experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML and Azure Cloud Storage)\n\nAdvanced proficiency in Python (RDFLib, NetworkX, PyGraphistry) for building scalable, production-grade data pipelines\n\nExperience building entity extraction pipelines using modern NLP frameworks (LangChain, LlamaIndex, spaCy) or LLM-based structured extraction\n\nHands-on experience with modern data transformation tools (dbt) and integrating graph databases with vector stores (Qdrant, Pinecone, pgvector) for hybrid search architectures\n\nSolid 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)\n\nExperience working with domain-specific supply chain, carbon accounting (GHG Protocol), or lifecycle assessment (LCA) data structures is a plus\n\nDirect experience building Model Context Protocol (MCP) servers to expose graph tools to LLM agents is a plus\n\nExperience with enterprise OBDA approaches at-scale is a plus\n\n Offer available only for candidates eligible to work and live in Poland\n\nLocation: Hybrid in Warsaw (2 days per week in the office) / Full remote from Poland\n\nIn return for your expertise, we offer:\nSupport with all the necessary office and IT equipment\n\nFlexible working hours\n\nWellness allowance for mental and physical wellbeing\n\nAccess to professional mental health support\n\nReferral bonus policy\n\nLearning and development\n\nSustainability events and community involvement\n\nPeer recognition program\n\nEmployee-led resource groups\n\nOptional (fully covered or co-financed) health care and life insurance\n\nMultisport card\n\nMultikafeteria\n\nLunch card\n\nHybrid work organization\n\nRemote work from abroad policy\n\nInternet and Electricity bill allowance\n\nAdditional day for community service when volunteering\n\nOur hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!\nDon’t fit all the criteria but still think you’d 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. We’re interested in hiring capable people, regardless of professional and educational background.\nCan 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.\nOur team’s strength comes from everyone’s 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 unique. In 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).","description_format":"text","description_chars":7009,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Equity","Flexible schedule","Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["ESG & Carbon Accounting Software","Procurement & Spend Management"],"lifecycle":[{"event":"open","at":"2026-09-23T19:23:15Z"}],"visa":[],"liveness":{"score":84,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.931,"p_room":0.9,"age_days":24,"expected_fill_days":49,"reasons":["conf:1","urgency","velocity","win:mid"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/ecovadis-senior-knowledge-graph-engineer-3","json_url":"https://alion.io/job/ecovadis-senior-knowledge-graph-engineer-3.json","meta":{"generated_at":"2026-10-18T23:53:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26412,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1975},"rest":"https://alion.io/mcp/rest/get_company?id=1975"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fecovadis-senior-knowledge-graph-engineer-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fecovadis-senior-knowledge-graph-engineer-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fecovadis-senior-knowledge-graph-engineer-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ecovadis-senior-knowledge-graph-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fecovadis-senior-knowledge-graph-engineer-3"}]}