Πόσο διαρκεί η διαδικασία συνέντευξης της Idealista;

Οι περισσότεροι υποψήφιοι ξοδεύουν 4 έως 8 εβδομάδες από το screen recruiter μέχρι την προσφορά. Το ίδιο το onsite loop τρέχει σε μία μέρα ή χωρίζεται σε δύο μισές ημέρες, με debrief και προσφορά τυπικά μέσα σε 5 εργάσιμες ημέρες μετά.

Πώς πρέπει να προετοιμαστώ ειδικά για την Idealista;

Εστιάστε σε τρία πράγματα: (1) στο DNA της εταιρείας που δείχνεται παραπάνω — τι βαθμολογούν πραγματικά, (2) στους γύρους του loop σας, ειδικά τον γύρο που οι περισσότεροι υποψήφιοι υποτιμούν, και (3) σε εξάσκηση στους τύπους ερωτήσεων αυτού του οδηγού χρησιμοποιώντας ένα δομημένο πλαίσιο όπως CIRCLES ή STAR.

Ισχύει αυτό για ρόλους engineering ή design στην Idealista;

Το DNA παραμένει το ίδιο — αυτό που αλλάζει είναι ο συνδυασμός γύρων. Οι υποψήφιοι SWE αντιμετωπίζουν coding screens αντί για Product Sense· οι designers αντιμετωπίζουν portfolio reviews και ασκήσεις σχεδιασμού. Το «τι εκτιμούν» και τα συμπεριφορικά σήματα μεταφέρονται σε όλες τις λειτουργίες.

What interests you about working at Idealista, specifically within a SaaS environment focused on real estate?

Type: Motivation. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Given a dataset of property listings with features like price, location, and number of rooms, design an algorithm to efficiently find the top K most similar properties to a given property, considering a weighted combination of these features. Assume the dataset can be very large.

Type: Algorithm. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Implement a Least Recently Used (LRU) cache for storing property search results. The cache should have a fixed capacity, and when it's full, it should evict the least recently used item to make space for new items. Consider thread safety if multiple users might access the cache concurrently.

Type: Data Structures. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Design the API for a 'Similar Properties' recommendation service. Consider the request/response formats, potential query parameters (e.g., property ID, user preferences), and how to handle scalability for millions of properties and users.

Type: API Design. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

How would you design a system to handle real-time updates for property availability and pricing across Idealista's platform? Consider the challenges of high write volume and ensuring consistency for users viewing listings.

Type: Scalability. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Implement a function to calculate the optimal pricing strategy for a property listing based on historical data, market trends, and user engagement. The function should return a suggested price range and the confidence level of that suggestion. Consider edge cases like new listings with no history.

Type: Algorithm. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Tell me about a time you had a significant technical disagreement with a colleague or manager. How did you approach the situation, what was the outcome, and what did you learn?

Type: Conflict Resolution. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Other roles at Idealista:Product Manager Software Engineer Marketing Sales

Growth · Software Engineer Interview Guide

How to Pass the Idealista Software Engineer Interview in 2026

Το DNA της Idealista (TL;DR)

Idealista values candidates who demonstrate strong problem-solving skills, a user-centric mindset, and the ability to adapt to a fast-paced, data-driven environment. They seek individuals passionate about real estate tech and improving the property search experience.

Οι συνεντεύξεις tech διεξάγονται στα αγγλικά

Ακόμη κι όταν κάνετε αίτηση τοπικά, η ίδια η συνέντευξη γίνεται σχεδόν πάντα στα αγγλικά. Σας δείχνουμε κάθε ερώτηση και prompt πρώτα στα αγγλικά — τη γλώσσα στην οποία θα γίνει η συνέντευξη — με μετάφραση από κάτω για να προετοιμαστείτε στην ισχυρότερη γλώσσα σας.

Το Interview Loop της Idealista

Το onsite loop σας θα αποτελείται τυπικά από 5 γύρους.

1
Γύρος 1
Recruiter Screen
Motivation, role fit, logistics.
2
Γύρος 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Γύρος 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Γύρος 4
Onsite Coding
LeetCode-hard, debugging, code clarity, edge cases.
5
Γύρος 5
Behavioral / Leadership
Past evidence of ownership, influence, resolving conflict.

Η ζώνη κινδύνου: Κορυφαίοι λόγοι που οι υποψήφιοι αποτυγχάνουν

Με βάση τη βάση δεδομένων μας με αποτελέσματα συνεντεύξεων Idealista, αποφύγετε αυτές τις συνηθισμένες παγίδες:

Overly simplistic regex that misses valid variations or incorrectly parses numbers.
Designing a chatty API with too many small endpoints instead of a few well-defined ones.
Not considering the infrastructure needed for uploading and processing large media files.
Not considering rate limiting, authentication, or error handling in the API design.

Δοκιμάστε τον εαυτό σας: Πραγματικές ερωτήσεις Idealista

Τρία πραγματικά prompts τραβηγμένα από τη βάση δεδομένων μας.

Τύπος · Conflict Resolution

Tell me about a time you had a significant disagreement with a stakeholder (e.g., engineering lead, marketing manager, executive) about a product decision. How did you approach the situation, and what was the outcome?

Τύπος · Debugging

A user reports that search results for 'apartments in Madrid' are sometimes missing properties that they know are listed. Analyze the provided (simplified) codebase for the search service and identify potential bugs or performance bottlenecks that could cause this issue. Fix the code.

Τύπος · Ownership

Tell me about a time you took initiative to solve a problem that wasn't explicitly part of your job description. What was the situation, what did you do, and what was the outcome?

+ πολλές ακόμη ερωτήσεις, σήματα και επεξεργασμένα παραδείγματα

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Idealista Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 19 questions shown

Recruiter Screen

1
Τύπος · Motivation
What interests you about working at Idealista, specifically within a SaaS environment focused on real estate?

Coding Screen

2
Τύπος · Algorithm
Given a dataset of property listings with features like price, location, and number of rooms, design an algorithm to efficiently find the top K most similar properties to a given property, considering a weighted combination of these features. Assume the dataset can be very large.
3
Τύπος · Data Structures
Implement a Least Recently Used (LRU) cache for storing property search results. The cache should have a fixed capacity, and when it's full, it should evict the least recently used item to make space for new items. Consider thread safety if multiple users might access the cache concurrently.
+ 1 more questions in this round (sign up to unlock)

System Design

4
Τύπος · API Design
Design the API for a 'Similar Properties' recommendation service. Consider the request/response formats, potential query parameters (e.g., property ID, user preferences), and how to handle scalability for millions of properties and users.
5
Τύπος · Scalability
How would you design a system to handle real-time updates for property availability and pricing across Idealista's platform? Consider the challenges of high write volume and ensuring consistency for users viewing listings.
+ 1 more questions in this round (sign up to unlock)

Onsite Coding

6
Τύπος · Debugging
A user reports that search results for 'apartments in Madrid' are sometimes missing properties that they know are listed. Analyze the provided (simplified) codebase for the search service and identify potential bugs or performance bottlenecks that could cause this issue. Fix the code.
7
Τύπος · Algorithm
Implement a function to calculate the optimal pricing strategy for a property listing based on historical data, market trends, and user engagement. The function should return a suggested price range and the confidence level of that suggestion. Consider edge cases like new listings with no history.
+ 1 more questions in this round (sign up to unlock)

Behavioral / Leadership

8
Τύπος · Conflict Resolution
Tell me about a time you had a significant disagreement with a stakeholder (e.g., engineering lead, marketing manager, executive) about a product decision. How did you approach the situation, and what was the outcome?
9
Τύπος · Conflict Resolution
Tell me about a time you had a significant technical disagreement with a colleague or manager. How did you approach the situation, what was the outcome, and what did you learn?
+ 7 more questions in this round (sign up to unlock)

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Interview tracks at Idealista

How Idealista's DNA translates across functions. Pick your role.

SWEs at Idealista are evaluated on their ability to build scalable, robust systems for high-traffic real estate platforms. Expect questions on data structures, algorithms, system design for features like search indexing or real-time notifications, and experience with relevant tech stacks like Java/Kotlin, Python, or Go.

Conflict Resolution

Debugging

+ 1 more

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