DATA AND KNOWLEDGE GRAPH ENGINEER

Canvas Reply; Manchester; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Reply is hiring a specialist to design and build semantic layers that give organisations a shared, machine-readable understanding of their data. You will create ontologies and knowledge graphs across industries, from discovery to production, supporting integration, governance, analytics and AI initiatives.

You will apply semantic technologies, connect data across systems, and expose graph data via APIs for downstream usage, while ensuring grounded, trustworthy insights for analytics and

Qualifications

• Degree in Computer Science or related field, or equivalent hands-on experience.
• Proven track record delivering semantic layers and knowledge graphs into production environments.
• Strong understanding of RDF/OWL, SPARQL, Cypher and graph databases.

Responsibilities

• Facilitate discovery workshops with business and technical stakeholders to understand and model key domains.
• Design, build, and maintain scalable ontologies, taxonomies, and semantic models that reflect complex business concepts.
• Develop and operate knowledge graphs end-to-end, including data ingestion, mapping, and entity resolution pipelines.
• Connect and standardise data across disparate systems using semantic technologies to improve integration and data consistency.
• Create, optimise, and maintain graph queries, exposing graph data via APIs and services for downstream consumers.
• Integrate knowledge graphs with AI solutions to deliver grounded, trustworthy insights for analytics and generative AI use cases.
• Prototype and productionise AI-powered features, including prompt engineering, evaluation, and continuous improvement.
• Advise customers on semantic architecture, governance, and best practices, contributing reusable standards and frameworks.

Skills

Semantic web

Knowledge graphs

Graph databases

Python

Data modelling

AI & LLMs

Education

Bachelor's degree in Computer Science or related field

Tools

Neo4j

GraphDB

Cypher

SPARQL

LangChain

Job description

Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services.

Role Overview:

This role focuses on designing and building semantic layers that give organisations a single, shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies and knowledge graphs that connect data, systems, applications and AI solutions. From discovery and modelling through to production, you will own the end-to-end technical design, creating robust foundations for integration, governance, analytics and generative AI.

Responsibilities:

• Facilitate discovery workshops with business and technical stakeholders to understand and model key domains.
• Design, build, and maintain scalable ontologies, taxonomies, and semantic models that reflect complex business concepts.
• Develop and operate knowledge graphs end-to-end, including data ingestion, mapping, and entity resolution pipelines.
• Connect and standardise data across disparate systems using semantic technologies to improve integration and data consistency.
• Create, optimise, and maintain graph queries, exposing graph data via APIs and services for downstream consumers.
• Integrate knowledge graphs with AI solutions to deliver grounded, trustworthy insights for analytics and generative AI use cases.
• Prototype and productionise AI-powered features, including prompt engineering, evaluation, and continuous improvement.
• Advise customers on semantic architecture, governance, and best practices, contributing reusable standards and frameworks.

About the Candidate:

• Degree in Computer Science, Computational Linguistics, Information Science, or a related field, or equivalent hands-on experience.
• Proven track record delivering semantic layers, ontologies, and knowledge graphs into production environments.
• Strong understanding of semantic web technologies and knowledge representation (e.g. RDF, OWL, SPARQL, Cypher) and experience with graph databases such as Neo4j or GraphDB.
• Solid programming skills in Python (or similar) for data integration, pipeline development, and automation.
• Experience with modern data architectures, including data lakes/warehouses, governance frameworks, and master/metadata management.
• Hands-on experience with Generative AI and LLMs, including RAG, embeddings, vector search, GraphRAG, prompt engineering, and agent frameworks (e.g. LangChain, LlamaIndex).
• Strong stakeholder skills, able to quickly understand complex business domains and communicate technical concepts to non-technical audiences.
• Experience working in cloud environments (preferably Azure) with good knowledge of Git, CI/CD, containers, and client-facing delivery practices.

Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.

Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.