Quantexa

Data Engineer Interview Experience - Singapore

June 11, 2024

Positive ExperienceGot Offer

Process

I applied online. The process took 4 weeks.

There was a take-home assignment regarding answering different data engineering questions, to be done in Scala/Spark. This was then used in the interview to present your findings and answer how you approached it. It was quite interactive.

Questions

How would you approach the assignment differently, or how would you test your work?

Was this helpful?

Interview Statistics

The following metrics were computed from 5 interview experiences for the Quantexa Data Engineer role in Singapore.

Success Rate

60%

Pass Rate

Quantexa's interview process for their Data Engineer roles in Singapore is on the easier side as most engineers get an offer after going through it.

Experience Rating

Positive60%

Neutral0%

Negative40%

Candidates reported having good feelings for Quantexa's Data Engineer interview process in Singapore.

Quantexa Work Experiences

Good Employer

Data Engineer • Current Employee

January 21, 2026

Pros: The workplace features fun, smart colleagues and frequent socials.

Cons: Very little leaves for lower grades. There is poor transparency to project allocation.

Data Engineer • Current Employee

January 21, 2026

Pros: The workplace features fun, smart colleagues and frequent socials.

Cons: Very little leaves for lower grades. There is poor transparency to project allocation.

Everything you could ask for in a company!

Data Engineer • Current Employee

London, England

Pros: - Great salary + benefits - Simple interview process: screening call, take-home assignment, final interview (code review, case study, presentation, and career aspirations) - Smooth onboarding process and detailed training with support from the designated academy lead and various colleagues - Big on enhancing their brand across the world and developing a family culture internally - Many opportunities for growth - Beautiful work location (an entire floor in WeWork Waterloo) - Food market nearby (3-min walk) plus many beverages in the office - You never feel lost; there is always someone to help you out with anything without any hesitation

Cons: - Sometimes windy if you wish to go for a walk next to the London Eye :)

Everything you could ask for in a company!

Data Engineer • Current Employee

London, England

Pros: - Great salary + benefits - Simple interview process: screening call, take-home assignment, final interview (code review, case study, presentation, and career aspirations) - Smooth onboarding process and detailed training with support from the designated academy lead and various colleagues - Big on enhancing their brand across the world and developing a family culture internally - Many opportunities for growth - Beautiful work location (an entire floor in WeWork Waterloo) - Food market nearby (3-min walk) plus many beverages in the office - You never feel lost; there is always someone to help you out with anything without any hesitation

Cons: - Sometimes windy if you wish to go for a walk next to the London Eye :)

A good place to be for a while

Data Engineer • Current Employee

Pros: Friendly , professional and smart coworkers Free snacks and coffee Challenging projects that push you learn and be creative

Cons: Configuration/Coding/Deploying the same solution can get boring after some time. The previous review below is spot on: "The data engineer position in Delivery consists in implementing the Quantexa product for different clients. The product has been developed so that little to no code is required for its implementation, mainly writing configuration files or copy-pasting code from one repo to another, so as a consequence the work in Delivery tends to be tedious and repetitive. Speed tends to be prioritized over quality, so good practices are often overlooked. You get to learn a lot about the internals of the Quantexa product but not so much about general data engineering. All in all, not great if you're looking for challenging work or your priority is to gain transferable data engineering skills."

A good place to be for a while

Data Engineer • Current Employee

Pros: Friendly , professional and smart coworkers Free snacks and coffee Challenging projects that push you learn and be creative

Cons: Configuration/Coding/Deploying the same solution can get boring after some time. The previous review below is spot on: "The data engineer position in Delivery consists in implementing the Quantexa product for different clients. The product has been developed so that little to no code is required for its implementation, mainly writing configuration files or copy-pasting code from one repo to another, so as a consequence the work in Delivery tends to be tedious and repetitive. Speed tends to be prioritized over quality, so good practices are often overlooked. You get to learn a lot about the internals of the Quantexa product but not so much about general data engineering. All in all, not great if you're looking for challenging work or your priority is to gain transferable data engineering skills."

Good Employer

Data Engineer • Current Employee

January 21, 2026

Pros: The workplace features fun, smart colleagues and frequent socials.

Cons: Very little leaves for lower grades. There is poor transparency to project allocation.

4.0
Good Employer
Data Engineer • Current Employee
Singapore
January 21, 2026
Pros: The workplace features fun, smart colleagues and frequent socials.
Cons: Very little leaves for lower grades. There is poor transparency to project allocation.

Everything you could ask for in a company!

Data Engineer • Current Employee

London, England

Pros: - Great salary + benefits - Simple interview process: screening call, take-home assignment, final interview (code review, case study, presentation, and career aspirations) - Smooth onboarding process and detailed training with support from the designated academy lead and various colleagues - Big on enhancing their brand across the world and developing a family culture internally - Many opportunities for growth - Beautiful work location (an entire floor in WeWork Waterloo) - Food market nearby (3-min walk) plus many beverages in the office - You never feel lost; there is always someone to help you out with anything without any hesitation

Cons: - Sometimes windy if you wish to go for a walk next to the London Eye :)

5.0
Everything you could ask for in a company!
Data Engineer • Current Employee
London, England
July 28, 2023
Pros: - Great salary + benefits - Simple interview process: screening call, take-home assignment, final interview (code review, case study, presentation, and career aspirations) - Smooth onboarding process and detailed training with support from the designated academy lead and various colleagues - Big on enhancing their brand across the world and developing a family culture internally - Many opportunities for growth - Beautiful work location (an entire floor in WeWork Waterloo) - Food market nearby (3-min walk) plus many beverages in the office - You never feel lost; there is always someone to help you out with anything without any hesitation
Cons: - Sometimes windy if you wish to go for a walk next to the London Eye :)

A good place to be for a while

Data Engineer • Current Employee

Pros: Friendly , professional and smart coworkers Free snacks and coffee Challenging projects that push you learn and be creative

Cons: Configuration/Coding/Deploying the same solution can get boring after some time. The previous review below is spot on: "The data engineer position in Delivery consists in implementing the Quantexa product for different clients. The product has been developed so that little to no code is required for its implementation, mainly writing configuration files or copy-pasting code from one repo to another, so as a consequence the work in Delivery tends to be tedious and repetitive. Speed tends to be prioritized over quality, so good practices are often overlooked. You get to learn a lot about the internals of the Quantexa product but not so much about general data engineering. All in all, not great if you're looking for challenging work or your priority is to gain transferable data engineering skills."

4.0
A good place to be for a while
Data Engineer • Current Employee
Toronto, ON
April 2, 2026
Pros: Friendly , professional and smart coworkers Free snacks and coffee Challenging projects that push you learn and be creative
Cons: Configuration/Coding/Deploying the same solution can get boring after some time. The previous review below is spot on: "The data engineer position in Delivery consists in implementing the Quantexa product for different clients. The product has been developed so that little to no code is required for its implementation, mainly writing configuration files or copy-pasting code from one repo to another, so as a consequence the work in Delivery tends to be tedious and repetitive. Speed tends to be prioritized over quality, so good practices are often overlooked. You get to learn a lot about the internals of the Quantexa product but not so much about general data engineering. All in all, not great if you're looking for challenging work or your priority is to gain transferable data engineering skills."

Copyright © Taro