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Updated weekly · Last refresh Oct 17

RELX Data Engineer Interview Questions

The questions to prepare for a RELX Data Engineer interview. Questions from real interview reports rank first. Updated daily.

6questions
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1
PipelinesStart here. 4 questions · ~32 min
Cloud Migration ApproachHard

Create a practical migration plan covering discovery, data transfer, validation, cutover, rollback, and post-migration monitoring.

data transferdata pipelinescloud environmentsRELX
Cloud Storage in Data PipelinesEasy

Discuss how cloud storage fits into ETL pipelines, including staging, data quality, and operational monitoring.

InfrastructureETLRELX
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingRELX
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityRELX
2
More topics2 questions · ~16 min
Real-Time AI Analytics ArchitectureHard

Design a secure, real-time Bloomberg analytics platform using streaming data, AI inference, retrieval, ranking, and monitoring.

Feature StoreRetrievaldata ingestionRELX
Optimizing Slow PostgreSQL Research QueriesMedium

Explain how you diagnosed and optimized a slow PostgreSQL query using execution plans, indexing, and query rewrites.

JoinsData WranglingAggregationsRELX

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Rolling Average with SQL WindowsMedium
Practice
Practice drill

Calculate each active RpmGlobal Enterprise Planning user's 30-day rolling average of daily activity.

TavantRpmglobalTwo Six Technologies
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Python or R Analysis LibrariesMedium
Practice
Practice drill

Count unique respondents by Python or R library and return the most commonly used libraries first.

analytics toolsData ManipulationData WranglingOklahoma City Thunder
The finish line: interview-readyComplete all 6 questions plus 3 hands-on drills to finish this plan.