Software Engineer, Dataiku

Data Platform

Salary not provided

SQL

JavaScript

Python

Java

Excel

Azure

Redshift

Spark

Snowflake

BigQuery

Parquet

Git

ChatGPT

Junior, Mid and Senior level

Amsterdam

Berlin

London

Paris

Remote from France, Germany, Netherlands, UK

Dataiku is The Universal AI Platform™

Job no longer available

Dataiku is The Universal AI Platform™

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

Job no longer available

Salary not provided

SQL

JavaScript

Python

Java

Excel

Azure

Redshift

Spark

Snowflake

BigQuery

Parquet

Git

ChatGPT

Junior, Mid and Senior level

Amsterdam

Berlin

London

Paris

Remote from France, Germany, Netherlands, UK

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

Company mission

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

Job

Company

Role

Who you are

You have experience in software development and are interested in data processing
You are "customer-oriented" you want to understand how the product is used and solve actual customer problems
You know, Data science is 80% preparing data and 20% complaining about preparing data
You are curious about working 'under the hood' and want to learn how things are built
You have firsthand experience (either professional or personal) in building a real product
You don't hesitate to ask questions when you don't know, and treat your colleagues with respect, kindness, and honesty

What the job involves

The mission of the Self-service Analytics teams is to maintain and improve the core features of Dataiku that are dedicated to Business Analysts & Developers, such as:
Data integration: this includes reading from and writing to Snowflake, BigQuery, Redshift, Azure Synapse, flat files on S3 (CSV, Parquet, Excel, …)
Data preparation & transformation through graphical UI, code or ChatGPT-like inputs, using the latest processing engines: Spark on K8s, SQL with UDFs, Snowpark, etc
Data catalog with automated quality assessment
Jupyter notebooks & SQL workbench
Help and onboarding experience
Automation & public REST APIs
Add new ways to clean up data using Large Language Models such as ChatGPT
Optimize our layout engine to be able to render complex workflows of 1000 datasets faster
Support new databases capabilities to read/write or process data faster
Improve our help system to make it smarter
Strengthen our git support, including automatic and graphical merge conflicts resolutions
Add autocomplete to our SQL workbench supporting a wide range of databases

Application process

Initial call with a member of our Technical Recruiting team
Video call with an Engineering Team Lead
Technical Assessment to show your skills (Home Test or Live Coding)
Debrief of your Tech Assessment with Engineering Team member
Final Interview with a VP Engineering

Our take

Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.

Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.

In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

39% female employees

9% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 8 rounds)

Dec 2022

$200m

SERIES F

Aug 2021

$400m

SERIES E

Total funding: $847.3m

Company benefits

Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost anywhere policy that allows employees to work from their place of choice up to four weeks per year.
Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
Building and supporting our community is at the heart of our values. We've developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
➔ We regularly organise office happy hours in offices and virtual

Company HQ

125 West 25th Street, 7th Floor, New York, NY 10001, USA

Leadership

Clément Stenac

(CTO)

Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.

Florian Douetteau

(CEO)

Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.

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