Tencent

Data Engineer Interview Experience - Singapore

June 4, 2022

Neutral ExperienceGot Offer

Process

The process included a team staff interview.
There was a team leader interview.
Candidates participated in a tech director interview.
A tech committee interview was conducted.
The GM interview took place.
An HR interview was required.
You must write your salary expectation.
Provide your past salary proof.
A background check covered the past 7 years.

Questions

How to build a data warehouse, and how to do data governance

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Interview Statistics

The following metrics were computed from 2 interview experiences for the Tencent Data Engineer role in Singapore.

Success Rate

50%

Pass Rate

Tencent's interview process for their Data Engineer roles in Singapore is fairly selective, failing a large portion of engineers who go through it.

Experience Rating

Positive50%

Neutral50%

Negative0%

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

Tencent Work Experiences

a good company

Data Engineer • Former Employee

October 1, 2020

Pros: I hope you have a good growth in development.

Cons: Everything is good, and there is nothing to comment.

Data Engineer • Former Employee

October 1, 2020

Pros: I hope you have a good growth in development.

Cons: Everything is good, and there is nothing to comment.

Generally Good

Data Engineer • Current Employee

Shenzhen, China

Pros: It is good enough for Chinese and foreign employees.

Cons: Nothing bad. Everything looks good.

Data Engineer • Current Employee

Shenzhen, China

Pros: It is good enough for Chinese and foreign employees.

Cons: Nothing bad. Everything looks good.

Experience At Tencent

Data Engineer • Former Employee

Kuala Lumpur, Malaysia

February 18, 2025

Pros: I met talented engineers with lots of learning opportunities from them. The tech leads were willing to offer individual chances to explore various projects beyond their main job scope, such as data analytics, data streaming, software development, DataOps, and product management, if you did well.

Cons: Frequent OT. The company is huge, time can be wasted because of hidden bugs, no straightforward logs, poor code/UI design, and vague requirements. Poor documentation makes it difficult for starters to pick up the company's workflow, internal tools, or code design.

Experience At Tencent

Data Engineer • Former Employee

Kuala Lumpur, Malaysia

February 18, 2025

Pros: I met talented engineers with lots of learning opportunities from them. The tech leads were willing to offer individual chances to explore various projects beyond their main job scope, such as data analytics, data streaming, software development, DataOps, and product management, if you did well.

Cons: Frequent OT. The company is huge, time can be wasted because of hidden bugs, no straightforward logs, poor code/UI design, and vague requirements. Poor documentation makes it difficult for starters to pick up the company's workflow, internal tools, or code design.

a good company

Data Engineer • Former Employee

October 1, 2020

Pros: I hope you have a good growth in development.

Cons: Everything is good, and there is nothing to comment.

5.0
a good company
Data Engineer • Former Employee
October 1, 2020
Pros: I hope you have a good growth in development.
Cons: Everything is good, and there is nothing to comment.

Generally Good

Data Engineer • Current Employee

Shenzhen, China

Pros: It is good enough for Chinese and foreign employees.

Cons: Nothing bad. Everything looks good.

5.0
Generally Good
Data Engineer • Current Employee
Shenzhen, China
June 1, 2023
Pros: It is good enough for Chinese and foreign employees.
Cons: Nothing bad. Everything looks good.

Experience At Tencent

Data Engineer • Former Employee

Kuala Lumpur, Malaysia

February 18, 2025

Pros: I met talented engineers with lots of learning opportunities from them. The tech leads were willing to offer individual chances to explore various projects beyond their main job scope, such as data analytics, data streaming, software development, DataOps, and product management, if you did well.

Cons: Frequent OT. The company is huge, time can be wasted because of hidden bugs, no straightforward logs, poor code/UI design, and vague requirements. Poor documentation makes it difficult for starters to pick up the company's workflow, internal tools, or code design.

3.0
Experience At Tencent
Data Engineer • Former Employee
Kuala Lumpur, Malaysia
February 18, 2025
Pros: I met talented engineers with lots of learning opportunities from them. The tech leads were willing to offer individual chances to explore various projects beyond their main job scope, such as data analytics, data streaming, software development, DataOps, and product management, if you did well.
Cons: Frequent OT. The company is huge, time can be wasted because of hidden bugs, no straightforward logs, poor code/UI design, and vague requirements. Poor documentation makes it difficult for starters to pick up the company's workflow, internal tools, or code design.

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