1. What is a Software Engineer at RELX?
As a Software Engineer at RELX, you are at the heart of a global provider of information-based analytics and decision tools. Your work directly impacts how professionals across the legal, scientific, and healthcare sectors access critical data. You will be building scalable, high-performance systems that transform massive datasets into actionable insights, requiring both technical precision and a deep understanding of the end-user’s needs.
This role is not just about writing code; it is about engineering solutions that power complex, real-world business problems. You will work within cross-functional teams to design, develop, and maintain robust software, often leveraging modern cloud architectures and data-processing frameworks. Success in this role requires a balance of strong foundational computer science knowledge and the ability to thrive in a collaborative, data-driven environment where quality and reliability are paramount.
2. Common Interview Questions
The following questions represent patterns observed in previous RELX interview cycles. While specific technical stacks may vary by team, these categories highlight the core competencies recruiters and hiring managers prioritize.
Technical & Domain Knowledge
These questions evaluate your proficiency in your core language (frequently Java) and your understanding of standard development frameworks.
- How do you manage memory and performance in Spring-based applications?
- Can you explain the lifecycle of a Hibernate entity and how it impacts database performance?
- What are the key differences between various thread-safe collections in Java?
- How do you approach unit testing and TDD (Test Driven Development) in your current projects?
- What is your experience with Cloud (AWS) services and deploying scalable microservices?
Problem Solving & Coding
Expect to demonstrate your logic in real-time. Note that some teams may require you to code without an IDE or compiler, focusing on your thought process rather than perfect syntax.
- Write a function to solve [algorithmic problem, e.g., Mars Rover simulation].
- How would you design a system to handle a high volume of concurrent data requests?
- Explain your approach to debugging a production issue in a complex distributed system.
- How do you optimize a slow-running SQL query or a resource-intensive algorithm?
- Given a specific scenario, how would you structure the classes and interfaces to ensure maintainability?
Behavioral & Communication
These questions assess how you collaborate within a team and handle professional challenges.
- Describe a time you had a technical disagreement with a peer; how was it resolved?
- How do you communicate complex technical concepts to non-technical stakeholders?
- Tell us about a project where you had to pivot due to changing business requirements.
- How do you handle feedback from QA or other team members regarding your code?
- Why are you interested in working for RELX, and how does your experience align with our mission?




