01
TRCI-26-06866
Knowledge Graph Engineer (Neo4j)
This contract role focuses on architecting, building, and operating production knowledge graphs with Neo4j, including data ingestion and connections to downstream AI/ML workflows. Core requirements are hands-on graph database experience, strong Cypher and graph data modeling skills, Python and SQL, and experience with ETL/ELT pipelines and graph performance optimization. The role also calls for data quality, entity resolution, lineage monitoring, and integration with cloud data platforms or LLM frameworks; semantic modeling and ontology-driven schemas are a plus. The requested experience band is 3–6 years, consistent with the description’s minimum of 3+ years. The location is Europe and the employment type is contract; no specific country or work arrangement is stated.
Position summary
- Location
- Europe
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 3 years and Maximum 6 years
Role overview
Why This Role Matters.
This contract role focuses on architecting, building, and operating production knowledge graphs with Neo4j, including data ingestion and connections to downstream AI/ML workflows. Core requirements are hands-on graph database experience, strong Cypher and graph data modeling skills, Python and SQL, and experience with ETL/ELT pipelines and graph performance optimization. The role also calls for data quality, entity resolution, lineage monitoring, and integration with cloud data platforms or LLM frameworks; semantic modeling and ontology-driven schemas are a plus. The requested experience band is 3–6 years, consistent with the description’s minimum of 3+ years. The location is Europe and the employment type is contract; no specific country or work arrangement is stated.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Build automated ETL/ELT ingestion pipelines to map relational, semi-structured, and unstructured data into graph schemas.
03
Write high-performance Cypher queries and optimize graph indexing, traversal speeds, and memory usage.
04
Integrate knowledge graphs with downstream AI/ML pipelines and agentic workflows (GraphRAG, vector + graph hybrid search).
05
Implement data quality checks, entity resolution, and graph lineage monitoring.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Neo4j
Required
02
Neo4j Aura
Required
03
Neo4j Enterprise
Required
04
Cypher
Required
05
Python
Required
06
SQL
Required
07
ETL
Required
08
ELT
Required
09
Labeled Property Graph
Required
10
LPG
Required
11
RDF
Required
12
Databricks
Required
13
AWS
Required
14
Azure
Required
15
LangChain
Required
16
LlamaIndex
Required
17
GraphRAG
Required
18
vector search
Required
19
hybrid search
Required
20
entity resolution
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Hands-on design and operation of production graph databases, preferably Neo4j
Expert proficiency in Cypher
Graph data modeling, including understanding of Labeled Property Graphs and RDF
Python and SQL for data transformation and automation
Automated ETL/ELT ingestion and data mapping pipelines
Graph performance optimization, including indexing, traversal speed, and memory usage
Integration of graph databases with cloud data platforms or LLM frameworks
Data quality checks, entity resolution, and graph lineage monitoring
Preferred
Nice to Have
Neo4j Aura or Enterprise
Databricks, AWS, or Azure
LangChain or LlamaIndex
GraphRAG and vector-plus-graph hybrid search
Semantic modeling and ontology-driven schemas
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Knowledge Graph Engineer (Neo4j)
One page, about two minutes. We only ask for what we actually need to have a first conversation.