Software Engineer in Test – Onsite or Remote (FR, UK, DE, NL)

Remote from
UK flagEurope flag
UK, Europe +3 more, Germany, France, Netherlands
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department
QA & Testing
Employment type
Full Time,
Job posted
Apply before
16 Jul 2026
Experience level
Midweight
Views / Applies
8 / 2

About Dataiku

Dataiku is the Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes.

Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Dataiku is hiring a Software Engineer in Test to ensure high-quality product delivery. The role involves coding automated test suites, defining manual testing plans, and improving test infrastructure. Candidates should have experience in software test engineering and automation using Python, Selenium, and Jenkins. The position is onsite or remote in select European countries. Dataiku values collaboration and innovation in the AI space.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role requires significant experience in test automation, collaboration with developers, and mentoring, indicating a high level of responsibility and technical skill.

Salary Analysis

Median Market Rate
USD110,000
US Market
USD80k – 150k
0 USD165k
AI Insight The job listing does not specify a salary. Based on US market data for a Software Engineer in Test, the estimated median salary is $110,000. This is a competitive range for experienced professionals in the field.

Key Skills

SDET Test Automation Python Selenium Jenkins AWS Big Data Quality Assurance CI/CD Agile

I am writing to express my strong interest in the Software Engineer in Test position at Dataiku. With extensive experience in test automation and a passion for quality, I am excited about the opportunity to contribute to Dataiku's innovative AI platform. My background in Python, Selenium, and CI/CD aligns perfectly with the technical requirements of the role. I thrive in collaborative environments and look forward to working with developers to ensure the highest quality products. I am eager to bring my skills to Dataiku and help shape the future of AI.

Describe your experience with test automation frameworks. Which ones have you used and how did you implement them?
I have extensive experience with Python and Pytest for building automation frameworks. In my previous role, I used Selenium for UI testing and Allure for reporting. I designed a modular framework that allowed easy integration with Jenkins for CI, significantly reducing regression testing time.
How do you ensure test coverage for complex systems integrating multiple technologies like Spark and Hadoop?
I start by understanding the system architecture and identifying critical integration points. I then design tests that simulate real-world data flows, including error handling and edge cases. Additionally, I collaborate with developers to ensure testability and use contract testing for API interactions.
Can you explain a time you mentored a junior QA team member? What approach did you take?
I mentored a junior tester by pairing on test design and code reviews. I encouraged them to ask questions and provided constructive feedback. We also held weekly knowledge-sharing sessions where they presented their work. This helped them gain confidence and improve their technical skills.
How do you prioritize testing efforts when faced with tight deadlines?
I prioritize based on risk and impact. I work with product and development teams to identify critical features that need thorough testing. I then focus on automating high-priority test cases and use exploratory testing for lower-risk areas. Communication is key to managing expectations.
What is your experience with cloud platforms like AWS, and how have you used them in testing?
I have used AWS extensively for setting up test environments on EC2 instances, managing test data in S3 buckets, and using CloudWatch for monitoring. I also implemented automated scaling of test nodes using AWS Auto Scaling to handle peak load testing efficiently.

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
 
What are you waiting for!
At Dataiku, you’ll be part of a journey to shape the ever-evolving world of AI. We’re not just building a product; we’re crafting the future of AI. If you’re ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can’t wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]
 
 
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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