Senior Software Engineer II - Data Engineering

RELX; Greater London; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Comprehensive pension plan

Generous vacation entitlement

Flexible working hours

Employee assistance program (global)

Job summary

RELX is seeking a Senior Software Engineer II in Greater London, specializing in data engineering and generative AI. This role involves leading architectural designs, developing AI services, and collaborating with cross-functional teams to deliver scalable solutions.

The ideal candidate will have over 5 years of software engineering experience, with deep expertise in Python and a solid understanding of modern AI tools. Benefits include a comprehensive pension plan and generous vacation entitlement.

Qualifications

• 5+ years of software engineering experience required.
• Experience leading architecture for large-scale platforms is essential.
• Proficiency in Python or Java is crucial.

Responsibilities

• Lead architectural design and ensure technical consistency.
• Develop generative AI services and reusable components using Python.
• Mentor less-senior developers and participate in cross-team initiatives.

Skills

Software engineering experience

Technical architecture

Python

Backend development

Kubernetes (EKS)

Agile methodologies

Tools

LangChain

LangGraph

Job description

Senior Software Engineer II – Data Engineering

We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions, implement robust systems, and collaborate closely with cross‑functional stakeholders to deliver reusable AI services and components. You will also mentor other engineers and contribute to evolving our engineering practices.

Key responsibilities

• Lead architectural design and ensure technical consistency.
• Design, develop, and maintain generative AI services and reusable components using Python.
• Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
• Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.
• Collaborate with product, platform, and research teams to translate AI prototypes into production‑ready capabilities.
• Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
• Lead the resolution of complex technical challenges across distributed systems.
• Mentor less‑senior developers on engineering principles, GenAI patterns, and platform development.
• Participate in code reviews, architecture sessions, and cross‑team initiatives to ensure quality and maintainability.
• Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.

Requirements

• 5+ years of software engineering experience.
• Proven experience leading technical architecture for large‑scale platforms or services.
• Solid understanding of software development methodologies and data modelling principles.
• Deep expertise in Python (or failing that, Java).
• Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).
• Strong experience with Kubernetes (EKS) and cloud‑native architectures.
• Proven record of building scalable backend systems and APIs.
• Experience mentoring engineers and contributing to architectural decisions.
• Ability to work collaboratively across functions in an Agile or Kanban environment.

Nice to have

• Experience operationalizing LLMs or building an internal AI platform.
• Familiarity with observability practices (metrics, logging, alerts).
• Exposure to knowledge graphs or semantic search systems.

Benefits

• Comprehensive pension plan.
• Generous vacation entitlement and option for sabbatical leave.
• Maternity, paternity, adoption, and family care leave.
• Flexible working hours.
• Personal choice budget.
• Internal communities and networks.
• Various employee discounts.
• Recruitment introduction reward.
• Employee assistance program (global).

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.