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Sii Netherlands Data Engineer Interview Questions

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

15questions
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1
PipelinesStart here. 6 questions · ~48 min
Design Real-Time IoT Sensor PipelineHard

Design a real-time IoT telemetry pipeline processing 180K sensor events/sec with <10s latency, replayability, data quality checks, and warehouse delivery.

InfrastructureStream ProcessingDependenciesSii Netherlands
Complex ETL Pipeline ArchitectureHard

Explain the architecture of a complex ETL pipeline built from scratch, including orchestration, data quality, idempotency, and backfill strategy.

InfrastructureETLData ModelingSii Netherlands
Preferred ETL and Transformation ToolsEasy

Explain your preferred extraction and transformation stack, and the reasoning behind those tool choices.

ToolsETLELTSii Netherlands
Batch vs Stream Processing Trade-offsMedium

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

InfrastructureStream ProcessingETLSii Netherlands
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualitySii Netherlands
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySii Netherlands
2
Behavioral & Leadership8 questions · ~64 min
Motivation and Learning HabitsEasy

Tests intrinsic motivation, learning agility, and whether the candidate turns industry awareness into practical impact.

CommunicationLeadershipOwnershipSii Netherlands
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3
More topics1 question · ~8 min
Optimizing Large-Scale QueriesMedium

Tests your ability to improve SQL performance using indexing, query planning, and data modeling for large datasets.

Performance Tuninglarge datasetsquery optimizationSii Netherlands

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
Cleaning a Messy DatasetMedium
Practice
Practice drill

Filter invalid game events and normalize event names using PostgreSQL string and null handling.

missing valuesdata cleaningnull handlingQuantiumScopelyCarvana
The finish line: interview-readyComplete all 15 questions plus 3 hands-on drills to finish this plan.