J'ai postulé via une autre source. J'ai passé un entretien chez Databricks en sept. 2025
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J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Databricks (Bengaluru) en août 2025
Entretien
Applied online via careers site
Recruiter (Usually via email or call)
Hiring Manager(via google meet)
Some tech rounds by other senior architects (not sure how many did not reach that got rejected in hiring manager round)
Questions d'entretien [1]
Question 1
About different types of data engineering projects , tools utilised , tech stacks used. Cloud providers services exposure etc.
Project management, stakeholder management.
I would avoid this over-hyped company. They are just riding the momentum at the moment. They will fade out in few years and lay offs will start.
After passing all the stages through tech interviews, NO feedback from them. After contacting them, they ask you to call them for a feedback! wow. Basically, they don't pay well, or have found some other friend for the job etc. Never seen a situation where you pass the interview stages and then a no (without any formal communication from them).
I think the roles in UK are highly pressured from sales perpective and a lot of politics and pay is certainly not US levels. Wait till the sales fall and layoffs begin.
- Initial chat with hiring mangers.
- Chat with recruiter in UK- Code Signal coding test - can do in sql or any language.
- 1hr+ tech fire and forget tech questions around big data and database techs including SQL. They will tell you well done etc. when you answer only to reject you later!
Questions d'entretien [1]
Question 1
They wanted to know few things around big data and database technologies. And some Spark questions.
The interview process was straightforward. The process starting with a technical recruiter reaching out via LinkedIn, a call with the hiring manager, a coding assessment via CodeSignal, an architectural interview, and a panel interview.
Questions d'entretien [1]
Question 1
Databricks provided a CodeSignal Assessment heavily skewed towards SQL