Process
The process was relatively long (1 phone call + 7 interviews).
Questions varied from mathematical foundations (probability, statistics, calculus) to logical problems and programming.
- I was asked to write code three times (easy-medium problems).
- Machine learning questions.
- Personal and professional goals.
Questions
Explained above in the process description.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Morgan Stanley Data Engineer role in Hungary.
Success Rate
50%
Pass Rate
Morgan Stanley's interview process for their Data Engineer roles in Hungary is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Morgan Stanley's Data Engineer interview process in Hungary.
Morgan Stanley Work Experiences
1.0
No pay/No Visa
Data Engineer • Current Employee
Seattle, Washington, United States
October 6, 2025
Pros: Good culture, no work pressure.
Cons: No compensation appreciation at all.
5.0
Great Team, Demanding Hours
Data Engineer • Former Employee
August 11, 2025
Pros: Nice, intelligent, interesting people who are committed to doing their very best and what is right for the clients.
Cons: Some mention long hours or being glued to your desk, particularly during peak periods.
3.0
Good company, difficult work-life balance
Data Engineer • Former Employee
New York, New York, United States
July 20, 2025
Pros: Opportunity to learn, friendly coworkers.
Cons: Overworked, hard work-life balance, difficult for upward mobility.
- 1.0No pay/No VisaData Engineer • Current EmployeeSeattle, Washington, United StatesOctober 6, 2025Pros: Good culture, no work pressure.Cons: No compensation appreciation at all.
- 5.0Great Team, Demanding HoursData Engineer • Former EmployeeAugust 11, 2025Pros: Nice, intelligent, interesting people who are committed to doing their very best and what is right for the clients.Cons: Some mention long hours or being glued to your desk, particularly during peak periods.
- 3.0Good company, difficult work-life balanceData Engineer • Former EmployeeNew York, New York, United StatesJuly 20, 2025Pros: Opportunity to learn, friendly coworkers.Cons: Overworked, hard work-life balance, difficult for upward mobility.
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