Knowledge Graph Engineer (AI)

Location: Must be based in the UK (Visa sponsorship is not available)

Company

An independent team of data & AI experts building intelligent digital solutions for global enterprises like Starbucks, Walmart, and Puma.

What you will do

• Develop and maintain knowledge graphs to support intelligent digital solutions.
• Build high-quality data pipelines on AWS, focusing on performance optimization and diagnostics.
• Translate complex business requirements into innovative, scalable digital products.
• Collaborate with distributed, cross-functional teams to deliver enterprise-grade applications.
• Implement and maintain CI/CD pipelines and containerized workloads using Docker.

Requirements

• Professional experience in Data Engineering with a strong focus on AWS.
• Expertise in Python development for production systems.
• Hands-on experience building and working with knowledge graphs.
• Proficiency with relational databases and enterprise data platforms.
• Experience with Docker and CI/CD pipeline maintenance.
• Must be based in the UK; no visa sponsorship is available.

Nice to have

• Experience with enterprise-scale data platforms.
• Interest in Generative AI and applied machine learning.
• Experience with SPARQL.

Culture & Benefits

• Annual company profit-sharing bonus based on performance.
• Flexible remote working culture dedicated to work/life balance.
• 25 days annual leave plus public holidays, sick leave, and marriage leave.
• Remote working allowance (up to €1250 every 2 years) and training budget (up to €1000).
• Private healthcare, pension match up to 5%, and life insurance.

Hiring process

• Talent Call: 30-minute introductory conversation regarding background and goals.
• Technical Assessment: 1-hour live coding challenge focusing on Python expertise.
• Hiring Manager Interview: 45-minute discussion on teamwork and client collaboration.