Deutsche Börse Group Data Engineer Interview Questions

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

39questions

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PipelinesStart here. 36 questions · ~290 min

Design a Databricks Lakehouse pipeline and justify when to use Spark RDDs, DataFrames, or Datasets for scalable ETL and streaming.

Choose Delta for Lakehouse PipelinesEasy

Design a Databricks lakehouse pipeline and defend choosing Delta Lake over Iceberg and Hudi for mixed batch and streaming workloads.

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Handling Pipeline Errors at ScaleHard

Approach for stabilizing an automated workflow that is failing broadly, with focus on orchestration, data quality, idempotency, and rollback.

IdempotencyBackfillingQuality

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Optimize Multi-Terabyte ETL PipelineMedium

Explain how you improved a slow ETL pipeline on multi-terabyte data, including bottleneck analysis, tuning choices, and validation.

ETL optimizationdata processingperformance

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Scaling Data Pipelines EffectivelyMedium

Approach for building data pipelines that scale in throughput, reliability, and operational visibility.

InfrastructureETL

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min

Use nested subqueries to identify accounts whose activity count exceeds the average account activity.

Return the latest record for every instrument, resolving timestamp ties by record ID.

Rank the highest-volume Xetra trading days within each month using aggregation and the RANK window function.

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