Deutsche Telekom Data Engineer interview questions
based on 3 ratings - Updated Feb 24, 2025
Averageinterview difficulty
Very positiveinterview experience
How others got an interview
50%
Applied online
Applied online
50%
Staffing Agency
Staffing Agency
Interview search
3 interviews
Deutsche Telekom interviews FAQs
Data Engineer applicants have rated the interview process at Deutsche Telekom with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 58.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 14 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Deutsche Telekom overall takes an average of 29 days.
Here are the most commonly searched roles for interview reports -
The process took 2 weeks. I interviewed at Deutsche Telekom (Budapest) in Jan 2025
Interview
It was a standard process. After a call from the HR, I had an interview with the hungarian team ( it was technical, but I didnt have to solve anything), after that I got invited to the last round where I had to talk with the german team leaders. The intervie was pretty much the same but in english.
I applied online. The process took 1 week. I interviewed at Deutsche Telekom (Gurgaon, Haryana) in Jan 2023
Interview
2 round of interviews and one round of hr interview. Both round of interviews is 1 hour . Interactive interviews . Checks problem solving skills in any language in which you are comfortable like python or java.
Interview questions [1]
Question 1
Project related question and some problems solving skills.
I applied through a staffing agency. I interviewed at Deutsche Telekom in Jul 2022
Interview
Interview process was smooth. Overall process took about 2-3 weeks. Questions from SQL, Spark & Scala were asked. three rounds were taken including the Hiring manager as the last round.
Interview questions [1]
Question 1
SQL/ Hive: Basic questions
Window functions.
GroupBy
Running Sum
De-Duplicate table
Spark:
Workflow of a spark job.
Joins
Shuffles
Programming:
Basic Programming aptitude.