Data Engineer applicants have rated the interview process at UBS 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 63.5% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at UBS as a Data Engineer according to 1 Glassdoor interviews include:
Background check: 33%
Skills test: 33%
Group panel interview: 33%
Here are the most commonly searched roles for interview reports -
Online assessment test, then 2 round of technical rounds and there will be a HR round at the end. Technical rounds will be on Data Engineering questions, scenario based and in in depth conceptual questions.
Interview questions [1]
Question 1
Questions on Spark, Data Warehousing , ADF , Databricks , data Modelling
I applied online. The process took 2 weeks. I interviewed at UBS in May 2024
Interview
hackerrank contest to test basic knowledge of SQL, PySpark and python. 2 PySpark questions, 2 SQL, 1 python question to test basic python data structures. PySpark Section was purposed to test basic DataFrame API
Interview questions [1]
Question 1
Join 2 dataframes in PySpark based on computed column
I applied through a recruiter. I interviewed at UBS
Interview
I had a very disappointing interview experience with UBS for a Data Engineer role. Two interviewers joined the call without any introductions. When I introduced myself, one of them responded with a sarcastic “interesting” and was consistently rude and dismissive throughout. I was interrupted repeatedly, which made it difficult to communicate effectively. Feeling uncomfortable with the tone and lack of professionalism, I chose to end the interview early. This experience reflected a concerning lack of respect for candidates. I would advise others to be cautious when considering opportunities here.