Process
I applied online for a data engineer role based in Singapore and was liaised with an interviewer based in London. To start off, the standard procedure was sending over a Calendly invite to pick my preferred timeslot. To accommodate the London time, I arranged for a call at 8:30 PM SGT. However, to my dismay, the interviewer did not reach out to me. It was supposed to be a phone call, but I did not receive any call. I even sent out an email during the timeslot asking if anything was wrong, but I did not get back a reply. Apparently, even someone who holds a Senior Talent Partner position can waste the precious time of a sincere candidate. It is an outrageous company with disrespectful HR. Please avoid.
Was this helpful?
Interview Statistics
The following metrics were computed from 5 interview experiences for the Quantexa Data Engineer role in Singapore.
Success 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
Candidates reported having good feelings for Quantexa's Data Engineer interview process in Singapore.
Quantexa Work Experiences
- 1.0Strong product but poor leadership impacts cultureData Engineer • Former EmployeeSingaporeOctober 5, 2026Pros: Strong product foundation, good technical learningCons: Poor delivery leadership locally, culture of learning and collaboration severely deteriorated as poor delivery and sales management have left them scrambling
- 4.0A good place to be for a whileData Engineer • Current EmployeeToronto, ONApril 2, 2026Pros: Friendly , professional and smart coworkers Free snacks and coffee Challenging projects that push you learn and be creativeCons: 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."
- 5.0Amazing culture and peopleData Engineer • Current EmployeeSingaporeFebruary 2, 2024Pros: Not sponsored by the HR :) Amazing qulture, I love how everyone is super friendly and helpful. The management is very considerate and cares about your welfare.Cons: WLB depends on the project.
