Huawei Technologies Data Engineer interview typically runs 3 rounds: technical panel, skip-level manager, and HR. The process spans roughly one month and is notably formal, sometimes conducted in Mandarin.
$116K
Avg. Base Comp
$206K
Avg. Total Comp
3
Typical Rounds
3-5 weeks
Process Length
Our candidates report that Huawei's data engineering process is more variable than it first appears. On the surface, the technical round looks familiar — SQL, LeetCode mediums, a walkthrough of past pipeline work — but the candidate we spoke with also flagged that other Huawei teams push deep into networking fundamentals like OSI, TCP/IP, and VPNs alongside Spark internals such as DAGs. That range is unusual for a data engineering role, and it signals that Huawei is evaluating whether you understand the infrastructure your pipelines run on, not just the pipelines themselves.
The most telling moment in the experience we reviewed was the pipeline deep-dive in the first round. The questions weren't abstract — they were about how it was built, what tradeoffs were made, and how it held up in production. That kind of specificity rewards candidates who have genuinely owned their work end to end. The skip-level round, by contrast, was lighter and more conversational, though the candidate noted it felt one-sided due to an inattentive interviewer. We've seen this pattern at other hardware and telecom companies: the technical round carries most of the weight, and the managerial rounds are more about fit and communication style.
One non-obvious factor here is language and formality. If your interview includes Mandarin or involves China-based team members, the register shifts noticeably — precision and structured answers matter more than conversational warmth. Candidates who treat the whole process as casual tend to underperform in that context. Coming in with a clear, organized narrative about your engineering decisions goes a long way.
Synthesized from 1 candidate report by our editorial team.
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Real interview reports from people who went through the Huawei Technologies process.
The interview process was pretty straightforward and took about three rounds for me. The first round was with the team lead and a few team members, and it was the most technical part of the process. They asked a mix of SQL, LeetCode medium-style questions, and questions about my past work, including how I had built a data pipeline. The second round was with a skip-level manager and was much more conversational, with a bigger focus on non-technical questions and general fit. That round felt a little awkward because the interviewer seemed distracted and was on his phone part of the time, so it was harder to get a real back-and-forth going. The last round was with HR and was mostly standard behavioral and administrative questions.
What stood out most was that the technical depth depended a lot on the team. In my case, the questions stayed around practical data engineering work, but I also heard that for Huawei the technical interview can lean heavily into China-team terminology and networking concepts like OSI, TCP/IP, routing, VPNs, and Spark internals such as DAGs. The whole process was well organized and moved along over roughly a month, with results communicated afterward. I ended up getting the offer, and my main takeaway is to be ready for both hands-on data engineering questions and a more formal interview style, especially if the interview is conducted in Mandarin or includes networking-heavy topics.
Prep tip from this candidate
Be ready to explain a data pipeline you built end to end, and review both SQL/LeetCode-style questions and networking fundamentals like OSI, TCP/IP, routing, and VPNs. If your interview is with a China-based team, practice the technical terms in Mandarin as well.
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Topics based on recent interview experiences.
Featured question at Huawei Technologies
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Synthesized from candidate reports. Individual experiences may vary.
The first and most technical round involves the team lead and several team members. Expect SQL questions, LeetCode medium-style problems, and in-depth discussion of past work such as building data pipelines. Depending on the team, questions may also cover networking concepts like OSI, TCP/IP, routing, and VPNs, as well as Spark internals such as DAGs.
This round is conversational and focuses on general fit, communication style, and non-technical background. It is less hands-on than the first round and serves as a broader assessment of your alignment with the team and organization.
The final round is conducted by HR and covers standard behavioral and administrative questions. This stage is used to confirm logistics, discuss offer details, and wrap up the process before a decision is communicated.
