Opportunity

SDET Engineer at Dataiku - AI Platform QA Career in Columbus

Location Columbus
Company Dataiku
Source jobicy
Posted 2026-07-18 19:40:05

Career & Market Insight

This SDET role at Dataiku sits at a compelling intersection of QA engineering and AI/data platform development — a high-demand specialization as enterprises scale ML systems. The skills you'll build (Python, Pytest, Selenium, Jenkins CI/CD, AWS integration testing) are directly transferable to senior QA, DevOps, and platform reliability engineering roles.

Market positioning: Dataiku is a well-funded, late-stage scaleup (unicorn valuation) that counts Fortune 500s among its clients. Joining means exposure to enterprise-grade AI infrastructure, which carries strong resume weight. SDET compensation at this company tier in Europe typically ranges €55,000–€85,000 depending on country and seniority — competitive but not exceptional for London or Amsterdam markets.

Green flags:

  • Developers write tests alongside QA — signals a mature, collaborative engineering culture rather than a siloed QA team
  • Mentoring responsibility indicates a path to senior/lead SDET roles
  • Exposure to big data (Spark, Hadoop), Kubernetes, and multi-cloud environments is highly marketable
  • Interview process includes VP-level debriefs — suggests the company takes QA seriously as a strategic function

Potential caution points:

  • No salary range disclosed — negotiate carefully given London/Amsterdam cost of living
  • Benefits package not detailed in the posting — worth clarifying equity, PTO, and learning budgets

Overall, this is a strong opportunity for a mid-to-senior SDET looking to level up in the AI/ML tooling space with a globally recognized platform company.

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, etc.).

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, etc.)
  • Mentoring and helping new QA team members

What you need to be successful

  • 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

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.

Frequently Asked Questions

Is this SDET role fully remote or office-based?
The role can be either onsite from Paris, London, Berlin, or Amsterdam, or fully remote — but only from France, the UK, Germany, or the Netherlands. Candidates must be eligible to work in one of these four countries.
What programming languages and tools are used in the testing stack?
The testing stack is primarily based on Python, Pytest, Selenium, and Allure for integration tests, with CI/CD managed via Jenkins and heavy use of AWS features.
What is the hiring process for this SDET position?
The process involves five stages: an initial recruiter call, a peer interview with two team members, a take-home technical test, a debrief with the VP of Test Engineering, and a final interview with a VP of Engineering.
Is there a salary range published for this role?
No salary range is disclosed in the job posting. Candidates are encouraged to discuss compensation expectations during the recruiting process.
Do I need machine learning experience to apply?
Machine learning knowledge is listed as a "nice to have" differentiator, not a hard requirement. Core requirements focus on test automation experience and proficiency in at least one object-oriented language.
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