How long does the Dataiku interview process take?

Most candidates spend between 4 and 8 weeks from recruiter screen to offer. The onsite loop itself runs in a single day or is split across two half-days, with debrief and offer typically within 5 business days after.

How should I prepare specifically for Dataiku?

Focus on three things: (1) the company DNA shown above — what they actually grade for, (2) the rounds in your loop, especially the round most candidates underestimate, and (3) drilling on the question types in this guide using a structured framework like CIRCLES or STAR.

Does this apply to engineering or design roles at Dataiku?

The DNA stays the same — what changes is the round mix. SWE candidates face coding screens instead of Product Sense; designers face portfolio reviews and design exercises. The "what they value" and behavioral signals carry across all functions.

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

The Dataiku DNA (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.

The Dataiku Interview Loop

Your onsite loop will typically consist of 5 rounds.

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

The Danger Zone: Top Reasons Candidates Fail

Based on our database of Dataiku interview outcomes, avoid these common traps:

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.

Test Yourself: Real Dataiku Questions

Three real prompts pulled from our database.

Type · 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'.

Type · 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?

Type · 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).

+ many more questions, signals, and worked examples

Unlock the rubric →

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
Type · 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
Type · 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
Type · 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
Type · 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
Type · 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
Type · 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
Type · 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
Type · 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
Type · 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)

Unlock the full Dataiku question bank

Free signup, no credit card. You get every question + the framework, grading signals, and worked answer for each.

Unlock all questions →

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