Nearform

3 weeks ago

Knowledge Graph Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and maintain knowledge graph–powered data engineering solutions for enterprise clients, translating complex business requirements into secure, high-performance digital products. Work with cloud-based data engineering on AWS, develop production-grade services in Python, design and optimize data pipelines, and collaborate with distributed teams. Use containerized workloads with Docker and establish CI/CD pipelines while maintaining high code quality through testing automation and maintainable design.

Location: United Kingdom

Workplace: Remote

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Work with clients to translate complex business requirements into innovative digital products.
•Deliver cloud-based data engineering solutions, focusing on AWS-based pipelines and platforms.
•Develop production systems using Python and maintain high code quality.
•Build and support knowledge graph capabilities and related data workflows.
•Create and maintain CI/CD pipelines and containerized deployments using Docker.

Pay and Benefits

Perks:Annual BonusRemote WorkPaid LeaveHealth InsuranceLearning BudgetPension MatchRemote Allowance

Key Requirements

•Professional experience as a Data Engineer with strong cloud-based data engineering experience using AWS.
•Strong expertise in Python development for production systems.
•Hands-on experience building and working with knowledge graphs.
•Strong experience with relational databases and enterprise data platforms.
•Demonstrated experience building high-quality data pipelines with performance optimisation and diagnostics.

Skills:Problem-solvingIndependent workCommunicationCollaboration

Languages:English

Tech Stack:AWSPythonKnowledge graphsRelational databasesDockerCI/CDSPARQLGenerative AIMachine learningData pipelinesContainerised workloadsTesting automation

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Nearform

Nearform is a global software consultancy that designs and builds enterprise-grade web and mobile platforms, specialising in open-source contributions, platform modernisation, and AI-enabled solutions for large organisations.

Industry: Consulting

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Private Equity Backed

Headquarters: Tramore (Waterford), Ireland

Founded: 2011

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Nearform

3 weeks ago

Knowledge Graph Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Remote

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Work with clients to translate complex business requirements into innovative digital products.
•Deliver cloud-based data engineering solutions, focusing on AWS-based pipelines and platforms.
•Develop production systems using Python and maintain high code quality.
•Build and support knowledge graph capabilities and related data workflows.
•Create and maintain CI/CD pipelines and containerized deployments using Docker.

Pay and Benefits

Perks:Annual BonusRemote WorkPaid LeaveHealth InsuranceLearning BudgetPension MatchRemote Allowance

Key Requirements

•Professional experience as a Data Engineer with strong cloud-based data engineering experience using AWS.
•Strong expertise in Python development for production systems.
•Hands-on experience building and working with knowledge graphs.
•Strong experience with relational databases and enterprise data platforms.
•Demonstrated experience building high-quality data pipelines with performance optimisation and diagnostics.

Skills:Problem-solvingIndependent workCommunicationCollaboration

Languages:English

Tech Stack:AWSPythonKnowledge graphsRelational databasesDockerCI/CDSPARQLGenerative AIMachine learningData pipelinesContainerised workloadsTesting automation

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Nearform

Industry: Consulting

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Private Equity Backed

Headquarters: Tramore (Waterford), Ireland

Founded: 2011

Glassdoor: 4.1

Website LinkedIn Glassdoor