Meta

Data Engineer Interview Experience - Poland

September 1, 2024

Positive ExperienceNo Offer

Process

Recruiter round: The recruiter might ask some basic, fundamental SQL questions.

1st round: 25 minutes for 4 SQL questions (easy). You need to be very fast and get to a solution very quickly. Communication wasn't the priority here.

Another 25 minutes for 2 programming questions. These are LeetCode easy to medium rated questions.

Questions

SQL: The first 2 questions require some aggregations. The later questions require joining.

Programming: Given a number, return the biggest odd number by rearranging its digits.

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Interview Statistics

The following metrics were computed from 3 interview experiences for the Meta Data Engineer role in Poland.

Success Rate

0%

Pass Rate

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

Experience Rating

Positive67%

Neutral33%

Negative0%

Candidates reported having very good feelings for Meta's Data Engineer interview process in Poland.

Meta Work Experiences

Pay And People Good, Scope Lacking

Data Engineer • Current Employee

London, England, United Kingdom

Pros: Food Salary People Office Benefits

Cons: Layoffs - sometimes micromanagement and lower scope.

Pay And People Good, Scope Lacking

Data Engineer • Current Employee

London, England, United Kingdom

Pros: Food Salary People Office Benefits

Cons: Layoffs - sometimes micromanagement and lower scope.

Fast-paced, constantly changing

Data Engineer • Current Employee

Pros: - You get to learn a lot. - Very fast pace. - Get to collaborate with industry leaders.

Cons: - Constant re-orgs (by design to change things up to give off the perception that things aren't stagnant) - Poor WLB at times - Re-orgs can cause your team dynamic to change really quickly

Fast-paced, constantly changing

Data Engineer • Current Employee

Pros: - You get to learn a lot. - Very fast pace. - Get to collaborate with industry leaders.

Cons: - Constant re-orgs (by design to change things up to give off the perception that things aren't stagnant) - Poor WLB at times - Re-orgs can cause your team dynamic to change really quickly

Valuable Learning, Niche Skillset

Data Engineer • Former Employee

Seattle, Washington, United States

October 17, 2022

Pros: Kept learning, worked with data at scale, great food.

Cons: Learnings of tools are not as transferable to other companies that don’t have the in-house tools.

Valuable Learning, Niche Skillset

Data Engineer • Former Employee

Seattle, Washington, United States

October 17, 2022

Pros: Kept learning, worked with data at scale, great food.

Cons: Learnings of tools are not as transferable to other companies that don’t have the in-house tools.

Pay And People Good, Scope Lacking

Data Engineer • Current Employee

London, England, United Kingdom

Pros: Food Salary People Office Benefits

Cons: Layoffs - sometimes micromanagement and lower scope.

2.0
Pay And People Good, Scope Lacking
Data Engineer • Current Employee
London, England, United Kingdom
May 5, 2023
Pros: Food Salary People Office Benefits
Cons: Layoffs - sometimes micromanagement and lower scope.

Fast-paced, constantly changing

Data Engineer • Current Employee

Pros: - You get to learn a lot. - Very fast pace. - Get to collaborate with industry leaders.

Cons: - Constant re-orgs (by design to change things up to give off the perception that things aren't stagnant) - Poor WLB at times - Re-orgs can cause your team dynamic to change really quickly

3.0
Fast-paced, constantly changing
Data Engineer • Current Employee
June 29, 2022
Pros: - You get to learn a lot. - Very fast pace. - Get to collaborate with industry leaders.
Cons: - Constant re-orgs (by design to change things up to give off the perception that things aren't stagnant) - Poor WLB at times - Re-orgs can cause your team dynamic to change really quickly

Valuable Learning, Niche Skillset

Data Engineer • Former Employee

Seattle, Washington, United States

October 17, 2022

Pros: Kept learning, worked with data at scale, great food.

Cons: Learnings of tools are not as transferable to other companies that don’t have the in-house tools.

5.0
Valuable Learning, Niche Skillset
Data Engineer • Former Employee
Seattle, Washington, United States
October 17, 2022
Pros: Kept learning, worked with data at scale, great food.
Cons: Learnings of tools are not as transferable to other companies that don’t have the in-house tools.

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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