Software Engineer in Test

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.

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