Meta

Data Engineer Interview Experience - London, United Kingdom

January 1, 2022

Positive ExperienceNo Offer

Process

Phone screen with HR: 5 questions on SQL and 5 on Python.

Online interview: 5 SQL, 5 Python questions, all easier than LeetCode.

Data modeling interview: needed to model Uber.

Behavioral interview.

Python interview: some Spark-related questions.

Questions

Phone screen with HR: asked 5 questions on SQL and 5 on Python.

Online interview: 5 SQL, 5 Python questions (all easier than LeetCode Easy).

Data modeling interview: needed to model Uber.

Behavioral interview.

Python interview: some Spark-related questions.

Was this helpful?

Interview Statistics

The following metrics were computed from 19 interview experiences for the Meta Data Engineer role in London, United Kingdom.

Success Rate

11%

Pass Rate

Meta's interview process for their Data Engineer roles in London, the United Kingdom is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive74%

Neutral11%

Negative16%

Candidates reported having very good feelings for Meta's Data Engineer interview process in London, United Kingdom.

Meta Work Experiences

Leadership retaliations are common

Data Engineer • Former Employee

Menlo Park, California, United States

Pros: - Strong ICs across many teams - Compensation and benefits - Opportunities to work on large-scale problems

Cons: Management quality varies drastically between teams; your experience depends heavily on your direct manager. There is limited recourse when dealing with toxic management. Performance evaluation processes can be inconsistent and are subject to retaliation if you challenge the status quo. The company culture of "feedback" can sometimes enable nitpicking and micromanagement, setting up employees to fail to simply meet the quota.

Leadership retaliations are common

Data Engineer • Former Employee

Menlo Park, California, United States

Pros: - Strong ICs across many teams - Compensation and benefits - Opportunities to work on large-scale problems

Cons: Management quality varies drastically between teams; your experience depends heavily on your direct manager. There is limited recourse when dealing with toxic management. Performance evaluation processes can be inconsistent and are subject to retaliation if you challenge the status quo. The company culture of "feedback" can sometimes enable nitpicking and micromanagement, setting up employees to fail to simply meet the quota.

Good place to work

Data Engineer • Former Employee

London, England, United Kingdom

November 12, 2023

Pros: Good people, perks, unique challenges.

Cons: Big company-related issues (e.g., hard to see your product impact).

Good place to work

Data Engineer • Former Employee

London, England, United Kingdom

November 12, 2023

Pros: Good people, perks, unique challenges.

Cons: Big company-related issues (e.g., hard to see your product impact).

Strong Infrastructure, Poor Perception

Data Engineer • Former Employee

January 11, 2022

Pros: Good data infrastructure and developer tooling.

Cons: Bad press coverage and audit thrash

Strong Infrastructure, Poor Perception

Data Engineer • Former Employee

January 11, 2022

Pros: Good data infrastructure and developer tooling.

Cons: Bad press coverage and audit thrash

Leadership retaliations are common

Data Engineer • Former Employee

Menlo Park, California, United States

Pros: - Strong ICs across many teams - Compensation and benefits - Opportunities to work on large-scale problems

Cons: Management quality varies drastically between teams; your experience depends heavily on your direct manager. There is limited recourse when dealing with toxic management. Performance evaluation processes can be inconsistent and are subject to retaliation if you challenge the status quo. The company culture of "feedback" can sometimes enable nitpicking and micromanagement, setting up employees to fail to simply meet the quota.

2.0
Leadership retaliations are common
Data Engineer • Former Employee
Menlo Park, California, United States
August 8, 2025
Pros: - Strong ICs across many teams - Compensation and benefits - Opportunities to work on large-scale problems
Cons: Management quality varies drastically between teams; your experience depends heavily on your direct manager. There is limited recourse when dealing with toxic management. Performance evaluation processes can be inconsistent and are subject to retaliation if you challenge the status quo. The company culture of "feedback" can sometimes enable nitpicking and micromanagement, setting up employees to fail to simply meet the quota.

Good place to work

Data Engineer • Former Employee

London, England, United Kingdom

November 12, 2023

Pros: Good people, perks, unique challenges.

Cons: Big company-related issues (e.g., hard to see your product impact).

4.0
Good place to work
Data Engineer • Former Employee
London, England, United Kingdom
November 12, 2023
Pros: Good people, perks, unique challenges.
Cons: Big company-related issues (e.g., hard to see your product impact).

Strong Infrastructure, Poor Perception

Data Engineer • Former Employee

January 11, 2022

Pros: Good data infrastructure and developer tooling.

Cons: Bad press coverage and audit thrash

4.0
Strong Infrastructure, Poor Perception
Data Engineer • Former Employee
January 11, 2022
Pros: Good data infrastructure and developer tooling.
Cons: Bad press coverage and audit thrash

Meta Interview Questions

Minimum Remove to Make Valid Parentheses

Given a string with parentheses, determine the minimum number of parentheses you must remove to make the string valid. A valid string has balanced and properly nested parentheses.

StringsStacksTwo Pointers

Valid Word Abbreviation

Determine if a given abbreviation is valid for a given word. An abbreviation can contain digits representing the number of skipped characters.

StringsTwo Pointers

Binary Tree Vertical Order Traversal

Traverse a binary tree and return a list of node values for each vertical line, ordered from left to right. Nodes on the same vertical line should be ordered from top to bottom.

Copyright © Taro