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Banco Santander Data Engineer Interview Questions

The questions to prepare for a Banco Santander Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
PipelinesStart here. 26 questions · ~208 min
Fraud Detection Batch vs StreamingMedium

Design a fraud pipeline that compares batch, streaming, and hybrid architectures for 120K tx/sec with sub-300 ms decisions and reconciled hourly tables.

Stream ProcessingETLBatch ProcessingBanco Santander
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLBanco Santander
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityBanco Santander
Modernize Hadoop to Spark PipelinesEasy

Design a Spark-based batch and streaming pipeline to replace legacy Hadoop jobs and deliver analytics data with sub-3-minute freshness.

InfrastructureToolsBatch ProcessingBanco Santander
Design an ETL Pipeline for Large DatasetsMedium

Design an ETL pipeline to process 10TB of data daily from multiple sources into a data warehouse with strict data quality checks.

InfrastructureETLData ModelingBanco Santander
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2
Behavioral & Leadership3 questions · ~24 min
Deliver Value With DataMedium

Assesses how you connect data engineering work to customer impact and measurable outcomes.

Problem SolvingBanco Santander
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3
More topics2 questions · ~16 min
Model Data for AnalyticsMedium

Tests your ability to design analytics-ready models and transformations.

Data WranglingCTEsGroup ByBanco Santander
Optimize Slow SQL QueriesMedium

Tests your approach to diagnosing and improving SQL performance in data pipelines.

JoinsData WranglingAggregationsBanco Santander

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

Find the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.

Window FunctionsJoinsRankingJPMorganChaseSilicon Valley BankNavi
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice
Practice drill

Calculate the monthly spending trends for customers using window functions and joins.

The Home DepotAvisoWorld Wide Technology
Customer Transaction Running TotalsEasy
Practice
Practice drill

Calculate each customer's cumulative transaction amount over time using a CTE and window function.

Window FunctionsDate FunctionsRunning TotalsBanco SantanderAnzBank Of Tokyo-Mitsubishi UFJ
The finish line: interview-readyComplete all 31 questions plus 3 hands-on drills to finish this plan.