Meta

Data Engineer Interview Experience - London, United Kingdom

May 16, 2025

Positive ExperienceGot Offer

Process

Screening interview:

5 SQL questions and 5 Python questions.

Full loop interview:

3 interviews covering product sense, data modeling, SQL, and Python.

Ownership interview:

Discusses role responsibilities, collaboration, independence, scope, and ownership.

Questions

What are a DE's responsibilities?

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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

Awesome work culture for those who want to work

Data Engineer • Current Employee

Menlo Park, California, United States

August 20, 2018

Pros: Tons of autonomy to work.

Cons: Workload on the higher side.

Awesome work culture for those who want to work

Data Engineer • Current Employee

Menlo Park, California, United States

August 20, 2018

Pros: Tons of autonomy to work.

Cons: Workload on the higher side.

Incredible Place to Work

Data Engineer • Current Employee

London, England, United Kingdom

Pros: You get to work with the smartest people, the best tools, and the most amount of data whilst influencing billions of people. Also, the perks like free food and travel are pretty good!

Cons: It's so fast-paced that it's always intense. The documentation gets left behind, and there's a focus on getting things done reasonably well, but not always perfectly.

Incredible Place to Work

Data Engineer • Current Employee

London, England, United Kingdom

Pros: You get to work with the smartest people, the best tools, and the most amount of data whilst influencing billions of people. Also, the perks like free food and travel are pretty good!

Cons: It's so fast-paced that it's always intense. The documentation gets left behind, and there's a focus on getting things done reasonably well, but not always perfectly.

Fast-paced, Collaborative, Poor Balance

Data Engineer • Former Employee

Pros: - collaborative teams - fast-paced environment

Cons: Lack of work-life balance.

Fast-paced, Collaborative, Poor Balance

Data Engineer • Former Employee

Pros: - collaborative teams - fast-paced environment

Cons: Lack of work-life balance.

Awesome work culture for those who want to work

Data Engineer • Current Employee

Menlo Park, California, United States

August 20, 2018

Pros: Tons of autonomy to work.

Cons: Workload on the higher side.

5.0
Awesome work culture for those who want to work
Data Engineer • Current Employee
Menlo Park, California, United States
August 20, 2018
Pros: Tons of autonomy to work.
Cons: Workload on the higher side.

Incredible Place to Work

Data Engineer • Current Employee

London, England, United Kingdom

Pros: You get to work with the smartest people, the best tools, and the most amount of data whilst influencing billions of people. Also, the perks like free food and travel are pretty good!

Cons: It's so fast-paced that it's always intense. The documentation gets left behind, and there's a focus on getting things done reasonably well, but not always perfectly.

5.0
Incredible Place to Work
Data Engineer • Current Employee
London, England, United Kingdom
March 2, 2020
Pros: You get to work with the smartest people, the best tools, and the most amount of data whilst influencing billions of people. Also, the perks like free food and travel are pretty good!
Cons: It's so fast-paced that it's always intense. The documentation gets left behind, and there's a focus on getting things done reasonably well, but not always perfectly.

Fast-paced, Collaborative, Poor Balance

Data Engineer • Former Employee

Pros: - collaborative teams - fast-paced environment

Cons: Lack of work-life balance.

3.0
Fast-paced, Collaborative, Poor Balance
Data Engineer • Former Employee
July 11, 2022
Pros: - collaborative teams - fast-paced environment
Cons: Lack of work-life balance.

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.

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