Software Engineer in Test - Onsite or Remote (FR, UK, DE, NL)
Dataiku Europe, France, Germany, Netherlands, UK
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Why this grade This listing scored 36/100, which is an F. It lost the most ground on freshness. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Full-Time Midweight QA & Testing
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
How you’ll make an impact
This position is either onsite from Paris, London, Berlin and Amsterdam or remote from these countries.
As a Software Developer Engineer in Test (SDET), your mission will be to ensure that we only deliver highest-quality products to our customers. You will play a crucial role in our success by helping our users have the best possible experience.
Dataiku's platform is built on modern Web technologies (single page webapp with Angular/AngularJS) and integrates with a very large ecosystem of big data technologies (Spark, Hadoop, MPP databases, Cloud services, ...).
Our software testing stack is based on Python, Pytest, Selenium, and Allure for the integration tests. Our CI is based on Jenkins with intensive usage of AWS’s features.
At Dataiku, developers are involved in writing part of the automated integration tests together with the QA team.
Here's a taste of how you can help the team:
- Coding advanced automated test suites to exercise our applications at all levels
- Defining manual testing plans, test strategies and define priorities
- Working with the developers to ensure that they deliver testable code
- Improving existing test infrastructure and frameworks (virtual machines, containers, auto-provisioning, UI testing, ...)
- Mentoring and helping new QA team members
What you need to be successful
- You have experience in software test engineering with a significant part in automation (API and/or UI Testing)
- You think collaborating with developers is the key for a good testing strategy
- You have worked with at least one Object Oriented language (such as Python, Java, C#, or C++)
- You discuss choices before implementing them
What will make you stand out
- Experience with big data technologies, such as Hadoop, Spark, or Kubernetes
- Experience with cloud platforms such as AWS, Azure, and GCP
- Basic knowledge of Machine Learning
What does the hiring process look like?
- Initial call with a member of our Technical Recruiting team
- Peer interview with two members of the team
- A take-home test to show your skills
- Debrief of your technical test with the VP of Test Engineering
- Final Interview with a VP of Engineering #LI-Hybrid
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Where this listing came from
- 19 Jul 2026 Jobicy first sighting
Seen on 1 board over 1 day.