About the role

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: reasonable-accommodations@dataiku.com

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.

Skills & Tags

python java go aws gcp azure kubernetes machine learning

Aplyr's read

Dataiku stands out as a collaborative data science platform, attracting professionals who thrive on building AI and machine learning solutions for diverse industries.
Synthesized from recent postings & public sources

What's promising

•Dataiku's platform facilitates seamless collaboration among data teams, enhancing productivity.
•The company is expanding globally, offering diverse opportunities in regions like LATAM and ASEAN.
•Dataiku's focus on AI and machine learning positions it well in the growing data-driven decision-making market.

What to watch

•The competitive landscape in data science platforms poses a constant challenge.
•Rapid global expansion may strain existing resources and infrastructure.
•Keeping up with fast-paced AI advancements requires continuous innovation and adaptation.

Why Dataiku

•Dataiku offers a user-friendly interface that democratizes access to data science tools.
•The platform's collaborative features are designed to integrate diverse team inputs effectively.
•Dataiku supports a wide range of data sources, enhancing its versatility across industries.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Dataiku

Dataiku

dataiku.com

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Dataiku is a collaborative data science platform that enables organizations to build and deploy AI and machine learning solutions. By providing a user-friendly interface and powerful tools, Dataiku empowers teams to leverage data for better decision-making and operational efficiency.