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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 weekly.

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1
PipelinesStart here. 37 questions · ~298 min
Data Governance in PipelinesMedium

Describe a practical approach to data governance across shared data pipelines, including quality, ownership, lineage, and controlled data access.

InfrastructureQualityDeutsche Börse Group
Handling Pipeline Errors at ScaleHard

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

IdempotencyBackfillingQualityDeutsche Börse Group
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.

Deutsche Börse Group
Batch vs Streaming Data ProcessingEasy

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

Stream ProcessingETLBatch ProcessingDeutsche Börse Group
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityDeutsche Börse Group
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2
More topics3 questions · ~24 min
Expert-Level Python for Data EngineeringMedium

Tests Python proficiency and engineering practices for reliable data processing code.

Hash TablesArraysSortingDeutsche Börse Group
Using SQL for Data EngineeringMedium

Tests SQL skills for transformations, performance, and correctness in data pipelines.

JoinsData WranglingAggregationsDeutsche Börse Group
Three Vs of Big DataEasy

Assesses your foundational knowledge of big data concepts.

Deutsche Börse Group

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Trading Days by VolumeMedium
Practice
Practice drill

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

Window FunctionsDate FunctionsRankingDeutsche Börse Group
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
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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