Knowledge Graph Engineer

Opportunity

What We Are Looking For

• Professional Knowledge Graph Engineer experience with strong cloud-based data engineering using AWS.
• Strong production Python development expertise.
• Hands-on experience building and working with knowledge graphs.
• Strong experience with relational databases and enterprise data platforms.
• Experience building high-quality data pipelines, including performance optimization and diagnostics.
• Hands-on experience with Docker and containerized workloads.
• Experience creating and maintaining CI/CD pipelines.
• Strong code quality, testing automation, maintainable design, problem-solving, independent working, communication, and collaboration skills.

Nice to Have

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

Workplace and Eligibility

• The role is remote-first and intended for candidates based in the UK; the title also references the UK or Ireland.
• Visa sponsorship is not available for this role.

About Nearform

Benefits

• Benefits include flexible working, remote working, a remote working allowance, a training allowance, and a bonus scheme.

Interview Process

• The process includes a talent call, a live technical assessment with Python coding, and a hiring manager interview focused on teamwork, client collaboration, and problem-solving.

Responsibilities

• Build high-quality knowledge graph and cloud-based data engineering solutions.
• Develop production systems in Python.
• Build, optimize, and diagnose high-quality data pipelines.
• Work with relational databases and enterprise data platforms.
• Create and maintain Docker-based containerized workloads.
• Create and maintain CI/CD pipelines.
• Apply code quality, testing automation, and maintainable design practices.
• Collaborate with clients and distributed cross-functional engineering teams.
• Translate complex business requirements into innovative digital products.
• Participate in technical assessments and client-focused engineering discussions during the hiring process.