Glassdoor users rated their interview experience at Ellipse Data as 40% positive with a difficulty rating score of 3.2 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Data Scientist and Principal Software Engineer rated their interviews as the hardest, whereas interviews for Software Engineer and Principal Software Engineer roles were rated as the easiest.
The hiring process at Ellipse Data takes an average of 36 days when considering 5 user submitted interviews across all job titles. Candidates applying for Principal Software Engineer had the quickest hiring process (on average 14 days), whereas Product Manager roles had the slowest hiring process (on average 60 days).
First stage with CTO about experience, second stage backend focused chat, third stage frontend focused, and last stage culture check.
Reason for experience rating: smooth process, the team seemed honest
I applied online. I interviewed at Ellipse Data (London, England)
Interview
Initial outreach and introductory call: The process started with a first email exchange followed by an intro call, during which they focused mainly on understanding my motivation, career goals, expectations for the role, and overall fit with the team and company.
Technical assignment: I was then given a Python task focused on data extraction and manipulation using a tennis dataset, aimed at assessing my ability to work with real-world data, structure clean code, and derive meaningful insights.
Interview questions [1]
Question 1
They asked me to write a Python data extraction script, and then they told me they had filled the position internally.
I applied through a recruiter. The process took 2 weeks. I interviewed at Ellipse Data (London, England) in Jan 2023
Interview
I had multiple calls with different members of the team such as the Software Architect and Head of engineering.
The questions were related to my previous experience and the architecture questions. Most of the interview was related to AWS services such as S3, EC2, Athena, etc. Some other questions were related to scalability or real-time pub/sub like Kafka.
Interview questions [1]
Question 1
What technologies would you use to deliver real-time data?