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Allianz Data Engineer Interview Questions

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

21questions
~3htotal time
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1
PipelinesStart here. 3 questions · ~24 min
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityAllianz
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityAllianz
Batch and Real-Time Policy UpdatesHard

Tests pipeline architecture choices for combining batch and streaming processing with reliability and correctness.

system designStream ProcessingBatch ProcessingAllianz
2
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Clustered vs Non-Clustered Indexes in WMSMedium

Explain clustered vs non-clustered indexes and how they affect WMS query performance and row storage.

JoinsData WranglingAggregationsAllianz
Optimizing Large Transaction Table JoinsHard

Explain how to tune a slow PostgreSQL query that joins several large transaction tables using indexes, join strategy, and partitioning.

JoinsperformancesqlAllianz
Relational Schema for ClaimsMedium

Tests data modeling skills for normalization, keys, and integrity constraints in an insurance domain.

schema designdata integrityData ModelingAllianz
Top Customers by Sales RevenueEasy
Practice
Recently asked
Practice drill

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsHousecall ProEquifaxXYZ
Resolve Conflicting Customer AttributesMedium
Practice
Practice drill

Use joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.

JoinsData WranglingQualityRamsey SolutionsACME House
Reconcile Conflicting Invoice TotalsMedium
Practice
Practice drill

Reconcile billing and ERP invoice totals using joins, a CTE for latest snapshots, and CASE-based discrepancy classification.

JoinsData WranglingQualityLiterati

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3
Behavioral & Leadership13 questions · ~104 min
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4
More topics2 questions · ~16 min
Parse and Clean Nested JSONMedium

Tests practical Python skills for parsing, cleaning, and transforming nested JSON data.

json parsingData WranglingpythonAllianz
SQL vs NoSQL and OOP BasicsEasy

Assesses your fundamentals in SQL vs NoSQL concepts and object-oriented programming.

nosqlsqloopAllianz
The finish line: interview-readyComplete all 21 questions plus 3 hands-on drills to finish this plan.