Type · motivation

Enterprise · Software Engineer Interview Guide
Interview language: English
How to Pass the RELX Software Engineer Interview in 2026
The RELX DNA (TL;DR)
The RELX Interview Loop
Your onsite loop will typically consist of 5 rounds.
- 1
Round 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Round 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Round 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Round 4
Onsite CodingLeetCode-hard, debugging, code clarity, edge cases. - 5
Round 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
The Danger Zone: Top Reasons Candidates Fail
Based on our database of RELX interview outcomes, avoid these common traps:
- Off-by-one errors in loop or range calculations.
- Not taking clear ownership or blaming others.
- Not mentioning specific RELX products or business areas.
- Not handling concurrent activity streams or large volumes of data.
Get the full RELX playbook, free
Every round, the exact grading rubric interviewers score against, all the questions, and unlimited mock-interview practice. Free account, no credit card.
Test Yourself: Real RELX Questions
Three real prompts pulled from our database.
Type · algorithmic
Type · architecture
+ many more questions, signals, and worked examples
Sign up to unlock the full RELX grading rubric
RELX Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 16 questions shown
Recruiter Screen
1- 1
Type · motivation
RELX operates in the media and information analytics space. What interests you about our specific mission to help professionals advance their work and make breakthroughs?
Coding Screen
3- 2
Type · algorithmic
Given a list of articles, each with a publication date and a list of keywords, write a function to find the top K most relevant articles for a given search query. Relevance is determined by the number of shared keywords and the recency of the article. - 3
Type · algorithmic
You are given a stream of user activity logs, where each log entry contains a user ID and the content ID they interacted with. Design a system to detect if any user has viewed more than N distinct content items within a M-minute sliding window. Return the user IDs violating this condition. - + 1 more questions in this round (sign up to unlock)
System Design
3- 4
Type · architecture
Design a system to recommend related articles to users based on their reading history and the content of the articles they've viewed. Consider scalability for millions of users and a large article corpus. - 5
Type · architecture
Design a content ingestion pipeline for a media platform. This pipeline needs to handle various content formats (text, images, videos), extract metadata, perform basic content analysis (e.g., keyword extraction), and store it efficiently for search and retrieval. Discuss potential bottlenecks and how to mitigate them. - + 1 more questions in this round (sign up to unlock)
Onsite Coding
4- 6
Type · algorithmic
Implement a function that takes a large text document and returns the N most frequent words, ignoring common stop words (like 'the', 'a', 'is'). The function should be efficient for documents potentially gigabytes in size. - 7
Type · algorithmic
Given a list of articles, each with a unique ID and a list of tags, write a function to find all articles that share at least K tags with a given target article. Optimize for scenarios where the number of articles and tags per article can be very large. - + 2 more questions in this round (sign up to unlock)
Behavioral / Leadership
5- 8
Type · Conflict Resolution
Tell me about a time you had a significant disagreement with a colleague or manager. How did you approach the situation, and what was the outcome? - 9
Type · ownership
Tell me about a time you encountered a significant technical challenge or bug in a production system that was impacting users. What steps did you take to diagnose, fix, and prevent recurrence? - + 3 more questions in this round (sign up to unlock)
Unlock all 16 RELX questions, free
No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.
Interview tracks at RELX
How RELX's DNA translates across functions. Pick your role.
Compare RELX with similar employers
Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.
Sony Interactive Entertainment
Same tierThe PlayStation ecosystem's success hinges on candidates demonstrating deep technical craft for game engines, innovat...
See Sony Interactive Entertainment interview questions
Ubisoft
Same tierThe final interview stages at Ubisoft assess a candidate's capacity to innovate within established franchises like As...
See Ubisoft interview questions
Warner Bros. Discovery
Same tierWarner Bros. Discovery values candidates demonstrating strong collaboration, adaptability in a fast-evolving media la...
See Warner Bros. Discovery interview questions
Practice RELX interviews end-to-end
RELX Mock Interview
Run a live mock interview with our AI interviewer using RELX-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
Open
STAR Stories for RELX Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals RELX interviewers grade on. Reuse them across every behavioral round.
Open
RELX Interview Prep Hub
The frameworks behind every RELX round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
Open
Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make RELX interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
Open
Sample answers
What a strong answer to these RELX interview questions shows.
RELX operates in the media and information analytics space. What interests you about our specific mission to help professionals advance their work and make breakthroughs?
A strong answer shows: Enthusiasm for RELX's mission; Understanding of RELX's market; Alignment of personal goals with company mission.
Given a list of articles, each with a unique ID and a list of tags, write a function to find all articles that share at least K tags with a given target article. Optimize for scenarios where the number of articles and tags per article can be very large.
A strong answer shows: Use of hash sets for efficient tag comparison; Pre-processing or indexing strategies to speed up queries; Clear logic for counting shared tags; Consideration of time complexity.