Senior Data Engineer at Nebius · Remote (Europe, Israel)
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Airflow
A time you used Airflow: the problem, what you did yourself, and what happened.
From the ad's requirements
Python
A time you used Python: the problem, what you did yourself, and what happened.
From the ad's requirements
SQL
A time you used SQL: the problem, what you did yourself, and what happened.
From the ad's requirements
5+ years of experience
How your experience adds up to what they ask for (5+ years), and the parts most like this job.
From the ad's requirements
Proven experience independently delivering complex data pipelines or data-platform capabilities from problem definition through production o
An example from your own work that shows this.
From the ad's requirements
Strong understanding of data modeling, including designing maintainable analytical models and data contracts for multiple consumers.
An example from your own work that shows this.
From the ad's requirements
Solid knowledge of data architectures and storage systems, including the trade-offs between different processing and storage approaches.
An example from your own work that shows this.
From the ad's requirements
Experience designing for reliability: testing, monitoring, data-quality validation, alerting, debugging, and incident resolution.
An example from your own work that shows this.
From the ad's requirements
Ability to make technical decisions under ambiguity, explain trade-offs clearly, and collaborate effectively with engineers and non-technica
An example from your own work that shows this.
From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for Nebius on JobRipe yet. Use the job ad and our guide below.
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Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Core skill.
How to answer: Ingestion, storage, orchestration, idempotency, backfills, monitoring.
Why they ask: Data correctness.
How to answer: Watermarks, dedup keys, reprocessing windows.
Why they ask: Airflow is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: Docker is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Questions to ask them