Real, anonymous reports from people who interviewed for Data Engineer at Quantexa, newest first and distilled into what to expect across the loop.
I went through a pretty smooth, recruiter-guided process where everyone felt friendly and genuinely interested in making it easy for me to show my skills. After the initial recruiter touchpoint, I got a clear sequence of stages and quick follow-ups after each step, so I always knew what was coming next.
I went through a more technical and demanding path that started with a human resources conversation and then shifted quickly into Scala-based exercises. After the HR touchpoint, I had an approximately two-hour technical interview with exercises in Scala alongside two senior data engineers. That stage felt like the real assessment: focused, hands-on, and built to pressure-test how I reasoned while writing in their ecosystem.
The interview process is structured and typically consists of an HR screening, a take-home assignment, and a final technical interview. Candidates can expect clear communication about the stages and timelines, with follow-ups after each step.
Candidates will face a strong emphasis on technical skills, particularly in Scala and Spark, with practical exercises designed to evaluate problem-solving and debugging abilities. The technical interviews often include real-time coding exercises and discussions about past projects.
The take-home assignment is a significant part of the process, typically involving multiple problems to solve within a week. Candidates should be prepared to discuss their solutions in detail during the follow-up interview.
Interviews include behavioral components where candidates discuss their experiences and how they approach work. Communication skills are assessed, especially during project presentations and discussions about past work.
Overall candidate experiences vary, with many noting positive interactions and supportive communication from the talent team. However, some candidates reported frustrations with lack of follow-up or abrupt changes in the process.
While many candidates did not receive offers, they appreciated the transparency and constructive feedback provided during the process. Candidates are encouraged to view the experience as a learning opportunity regardless of the outcome.
