Πόσο διαρκεί η διαδικασία συνέντευξης της Dataiku;

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 Dataiku;

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 Dataiku;

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 Dataiku's mission to democratize data science and analytics, and how do you see your skills contributing to that goal?

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

Given a list of user activity logs, where each log entry contains a user ID and a timestamp, write a function to find all users who performed more than K distinct actions within any M-minute sliding window. Assume actions are implicitly defined by consecutive log entries for the same user.

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

Implement a function that takes a 2D grid representing a map of land and water, and returns the maximum number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. Assume the grid is rectangular and contains only '1' (land) and '0' (water).

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

Design a system to recommend relevant Dataiku recipes or datasets to users based on their past activity and the activity of similar users. Consider scalability, real-time updates, and potential data sparsity.

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

How would you design a real-time data pipeline for Dataiku that ingests data from various sources (e.g., databases, APIs, file uploads), performs transformations, and makes it available for analysis with low latency? Discuss trade-offs between different technologies (e.g., Kafka, Spark Streaming, Flink).

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

Tell me about a time you took ownership of a project or feature that was facing significant challenges or was at risk of failure. What was the situation, what did you do, and what was the outcome?

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

Other roles at Dataiku:Product Manager Software Engineer Sales Solutions Architect Customer Success

Growth · Software Engineer Interview Guide

How to Pass the Dataiku Software Engineer Interview in 2026

Το DNA της Dataiku (TL;DR)

Dataiku grades for strong problem-solving skills, practical data literacy, and a collaborative mindset, often assessing how candidates approach real-world data challenges and leverage platforms for end-to-end data projects. They seek individuals who understand the full lifecycle from data prep to deployment.

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 Dataiku

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 Dataiku, αποφύγετε αυτές τις συνηθισμένες παγίδες:

Describing a situation where they simply gave in without attempting resolution.
Incorrectly defining or counting 'distinct actions' within the window.
Proposing overly verbose logging that impacts performance or becomes unmanageable.
Failing to articulate their specific actions and the impact they had.

Δοκιμάστε τον εαυτό σας: Πραγματικές ερωτήσεις Dataiku

Τρία πραγματικά prompts τραβηγμένα από τη βάση δεδομένων μας.

Τύπος · algorithmic

Given a dataset of customer interactions with Dataiku features (e.g., 'created_recipe', 'trained_model', 'deployed_flow'), design a data structure and algorithm to efficiently answer queries about the sequence of actions a user took, and to detect patterns like 'user performed action A, then action B within 5 minutes'.

Τύπος · Conflict Resolution

Tell me about a time you had a significant disagreement with a colleague or stakeholder. How did you approach the situation, and what was the resolution?

Τύπος · code clarity

Refactor the following code snippet (which implements a feature for Dataiku, e.g., parsing a specific file format or interacting with an API) to improve its readability, maintainability, and testability. (Provide a complex, poorly written code snippet).

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Dataiku Interview Question Bank

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

9 of 21 questions shown

Recruiter Screen

1
Τύπος · motivation
What interests you about Dataiku's mission to democratize data science and analytics, and how do you see your skills contributing to that goal?

Coding Screen

2
Τύπος · algorithmic
Given a list of user activity logs, where each log entry contains a user ID and a timestamp, write a function to find all users who performed more than K distinct actions within any M-minute sliding window. Assume actions are implicitly defined by consecutive log entries for the same user.
3
Τύπος · algorithmic
Implement a function that takes a 2D grid representing a map of land and water, and returns the maximum number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. Assume the grid is rectangular and contains only '1' (land) and '0' (water).
+ 1 more questions in this round (sign up to unlock)

System Design

4
Τύπος · distributed systems
Design a system to recommend relevant Dataiku recipes or datasets to users based on their past activity and the activity of similar users. Consider scalability, real-time updates, and potential data sparsity.
5
Τύπος · architecture
How would you design a real-time data pipeline for Dataiku that ingests data from various sources (e.g., databases, APIs, file uploads), performs transformations, and makes it available for analysis with low latency? Discuss trade-offs between different technologies (e.g., Kafka, Spark Streaming, Flink).
+ 1 more questions in this round (sign up to unlock)

Onsite Coding

6
Τύπος · algorithmic
Given a dataset of customer interactions with Dataiku features (e.g., 'created_recipe', 'trained_model', 'deployed_flow'), design a data structure and algorithm to efficiently answer queries about the sequence of actions a user took, and to detect patterns like 'user performed action A, then action B within 5 minutes'.
7
Τύπος · code clarity
Refactor the following code snippet (which implements a feature for Dataiku, e.g., parsing a specific file format or interacting with an API) to improve its readability, maintainability, and testability. (Provide a complex, poorly written code snippet).
+ 1 more questions in this round (sign up to unlock)

Behavioral / Leadership

8
Τύπος · Ownership
Tell me about a time you took ownership of a project or feature that was facing significant challenges or was at risk of failure. What was the situation, what did you do, and what was the outcome?
9
Τύπος · Conflict Resolution
Tell me about a time you had a significant disagreement with a colleague or stakeholder. How did you approach the situation, and what was the resolution?
+ 9 more questions in this round (sign up to unlock)

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Interview tracks at Dataiku

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

SWEs need robust coding skills, experience with distributed systems, and an understanding of data infrastructure or ML ops. Interviewers assess ability to build scalable, reliable components for the Dataiku platform, often involving Java/Python and big data technologies.

algorithmic

Conflict Resolution

Tell me about a time you had a significant disagreement with a colleague or stakeholder. How did you approach the situation, and what was the resolution?

+ 1 more

Unlock the Software Engineer grading rubric for Dataiku

See full Software Engineer guide