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BlaBlaCar Data Engineer Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 5 interview experiences · FREE TO READ

4.4 Rounds average
Average Typical difficulty
60% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at BlaBlaCar.

Showing 3 of 5
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Analytics Engineer

Analytics · a year ago

Entry Average Positive experience Accept offer 5 rounds
Interview process
Recruiter call Phone screen Take home Technical screen Onsite Offer
Interview formats
Technical Coding Presentation

Had a recruiter call, then a call with the director. After that, there was a technical test involving data modeling and a Python exercise. Then, feedback on the test with one Analytics Engineer and one Data Analyst. Finally, a call with the VP of Data.

Confirmed questions1 question
  • Build a data model for a business use case.
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BlaBlaCar

Analytics Engineer

Analytics · more than a year ago

Mid Average Neutral experience No offer 4 rounds
Interview process
Recruiter call Technical screen Take home Onsite Panel Presentation Background check Offer
Interview formats
Behavioral Technical Coding System Design Presentation

the process started with a 45 min video-call with HR, then a 45 min video-call with the Data Engineering Manager. After that, I had a remote exercise followed by a 90 min video-call with two Data Engineers/Analytics Engineers. Finally, there was a 30-min chat with the VP of Data.

Confirmed questions8 questions
  • Tell me about your motivations for this role.
  • What makes you want to leave your current job?
  • Why are you interested in our company?
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BlaBlaCar

Data Engineer

Engineering · more than a year ago

Mid Average Positive experience No offer 5 rounds
Interview process
Recruiter call Phone screen Take home Technical screen Onsite
Interview formats
Behavioral Technical Coding

The process is pretty thorough, it goes like this: first you have a call with HR. Then you chat with the manager of your team, who asks some technical stuff but it's not a full technical interview. After that, there's a technical test to do at home where you have to build a simple data pipeline. Then, you debrief your work on the test with two data engineers who will challenge what you did. Finally, there's a call with the head of data, which seems more about cultural fit, though I didn't make it that far.

Confirmed questions2 questions
  • Tell me about a project you've worked on as a data engineer.
  • Can you explain the data modeling approach you selected for the project?

BlaBlaCar Data Engineer Interview Questions

Quoted word for word from BlaBlaCar interview reports.

What's the difference between appending and truncating data?

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What are the advantages and disadvantages of different data modeling techniques like Kimball, OBT, and Data Vault?

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Can you elaborate on your analysis of journey legs and trip stops?

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How do you manage changes in data schemas, such as column order or new columns?

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How do you approach handling slowly changing dimensions?

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Formats, difficulty and experience

Across all 5 BlaBlaCar interview reports.

Interview formats

Technical 33.3%
Behavioral 26.7%
Coding 20%
Presentation 13.3%
System Design 6.7%

Interview difficulty

Easy 0%
Average 100%
Difficult 0%

Candidate experience

Positive 60%
Neutral 40%