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Updated weekly · Last refresh Aug 30

Equinor Data Engineer Interview Questions

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

32questions
~5htotal time
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1
SQL & Data ManipulationStart here. 9 questions + 2 drills · ~98 min
Rolling Average Over 7 DaysMedium
Practice

Calculate per-sensor seven-day rolling temperatures using CTEs, daily aggregation, and a time-based window frame.

Window FunctionsDate FunctionsRunning TotalsEquinor
Efficient Complex Joins and AggregationsMedium

Tests your ability to write correct and performant SQL for analytical queries.

JoinsGroup ByAggregationsEquinor
SQL Rolling Average WindowMedium

Tests understanding and application of SQL window functions for analytics.

Window FunctionsRankingRunning TotalsEquinor
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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2
Pipelines17 questions · ~147 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityEquinor
Infrastructure as Code for Data PlatformsMedium

Tests your ability to manage reproducible infrastructure for data platforms using IaC.

InfrastructureToolsOrchestrationEquinor
Redesigning a Pipeline That Would Not ScaleMedium

Tests your scalability thinking and ability to improve pipelines when they hit performance limits.

InfrastructureTrade-offsETLEquinor
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3
Coding4 questions · ~35 min
Parse, Clean, and Flatten IoT JSONMedium

Tests practical Python skills for transforming messy IoT payloads into analytics-ready structures.

Hash TablesArraysStringsEquinor
Efficient Python for Data ManipulationEasy

Tests your ability to implement performant Python transformations for large datasets.

Hash TablesArraysStringsEquinor
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4
More topics2 questions · ~17 min
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The finish line: interview-readyComplete all 32 questions plus 2 hands-on drills to finish this plan.