Senior Knowledge Graph Engineer

EcoVadis Inc; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work

Wellness allowance

Lunch card

Multisport card

Remote work policy

Health care option

Life insurance

Learning and development

Sustainability events

Referral bonus

Job summary

EcoVadis Inc. is seeking a hands-on Senior Knowledge Graph Engineer to operationalize ontologies into high-throughput graph systems within our AI Center of Excellence.

You will enable autonomous AI agents addressing sustainability challenges by linking unstructured disclosures to graph databases. You will build GraphRAG ingestion pipelines, entity resolution workflows, and semantic federation with external ontologies, while collaborating with AI/ML engineers on NL2Query tooling and low-latency

Qualifications

• 3+ years building and querying graph databases.
• Strong Python experience for data pipelines.
• Experience with NL2Query tools and agent tooling.
• Knowledge of semantic web standards (RDF/OWL/SHACL).
• Cloud experience (Azure) and data provenance concepts.
• Familiarity with data-merging and ETL/ELT processes.

Responsibilities

• Design, implement, and maintain high-speed GraphRAG ingestion pipelines.
• Build NER, entity linking, and deduplication workflows for canonical nodes.
• Federate internal data with external ontologies (GLEIF, PROV-O, etc.).
• Develop NL2Query and tooling to support autonomous agents.
• Optimize multi-hop queries and graph indexing for sub-second performance.
• Operationalize SHACL tests in CI/CD to ensure data quality.

Skills

Graph databases

Python

Entity resolution

NER & linking

Cypher & SPARQL

ETL/ELT pipelines

NLP frameworks

LangChain / LlamaIndex

RDF/OWL/SHACL

Azure cloud

Education

Bachelor's degree in Computer Science or related field

Tools

Neo4j

Memgraph

TigerGraph

GraphDB

Stardog

Virtuoso

dbt

Qdrant

Pinecone

pgvector

LangChain

spaCy

RDFLib

NetworkX

Cypher

SPARQL

Job description

Company Description

Work smart, have fun and make an impact!

EcoVadis 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.

Why 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.

Learn more about our team and culture on EcoVadis careers page.

Job Description

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 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

• 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 Poland

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

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

• Optional (fully covered or co‑financed) health care and life insurance

• Multisport card

• Multikafeteria

• Lunch card

• Hybrid work organization

• Remote work from abroad policy

• Internet and Electricity bill allowance

• Additional day for community service when volunteering

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 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).