Azure Data Engineer applicants have rated the interview process at Capgemini with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 89% positive. To compare, the company-average is 82.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Azure Data Engineer roles take an average of 16 days to get hired, when considering 19 user submitted interviews for this role. To compare, the hiring process at Capgemini overall takes an average of 21 days.
Common stages of the interview process at Capgemini as a Azure Data Engineer according to 19 Glassdoor interviews include:
Skills test: 16%
Background check: 14%
Presentation: 14%
One on one interview: 11%
Phone interview: 11%
IQ intelligence test: 10%
Personality test: 9%
Group panel interview: 9%
Drug test: 3%
Other: 3%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 1+ week. I interviewed at Capgemini (Bengaluru) in Jul 2026
Interview
The interview process was smooth, well-structured and professional. It included technical questions and discussions about my experience and role-related scenarios. The interviewers were supportive and explained me the role clearly, Got the overall experience positive, It went comfortable and informative as well.
Interview questions [1]
Question 1
Asked me to write pyspark code to get result with all columns from datafrmse and 1 column from dataframe2 and
SQL query for inner and full join
I applied online. I interviewed at Capgemini (Bengaluru)
Interview
The interview was based on ADF and Databricks and scenario based questions. I was also asked to code in Pyspark. ANd few other questions on data warehouse, data lakes, ETL/ELT, data pipelines.
Technical interview: Focuses on domain-specific knowledge and practical application. HR interview: Covers behavioral aspects, career aspirations, and company fit. Candidates who successfully clear all rounds receive a formal offer to join Capgemini