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

Dataiku

Dataiku

Software Engineering, Quality Assurance
Paris, France
Posted on Thursday, February 1, 2024

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

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

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: reasonable-accommodations@dataiku.com