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

Job Overview

Location

Europe, Middle East, and Africa

Job Type

Full-time

Category

Software Engineering

Date Posted

April 21, 2026

Full Job Description

đź“‹ Description

  • • As a Software Developer Engineer in Test (SDET) at Dataiku, you will ensure the delivery of highest-quality products by designing and executing automated test suites, defining testing strategies, and collaborating with developers to improve testability and infrastructure.
  • • Your day-to-day responsibilities include coding advanced automated test suites for web and API levels using Python, Pytest, Selenium, and Allure; defining manual testing plans; mentoring new QA team members; and enhancing test infrastructure with virtual machines, containers, and auto-provisioning.
  • • You will join Dataiku’s engineering team in Europe (onsite in Paris, London, Berlin, or Amsterdam, or remote from FR, UK, DE, NL), contributing to a platform that orchestrates AI and analytics across multi-vendor environments with centralized governance, used by leading enterprises to operationalize AI as a business performance engine.
  • • In this role, you will deepen your expertise in test automation, CI/CD pipelines (Jenkins/AWS), and cloud-native testing practices while gaining exposure to big data technologies (Spark, Hadoop, Kubernetes) and ML concepts, positioning you at the forefront of quality engineering for enterprise AI platforms.

Skills & Technologies

Python
Java
Angular
AWS
Azure
Remote

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Dataiku SAS
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About Dataiku SAS

Dataiku SAS provides a collaborative data science and machine learning platform enabling organizations to build, deploy, and monitor predictive analytics workflows. Founded in 2013 and headquartered in New York and Paris, the company serves global enterprises in finance, retail, pharmaceuticals, and manufacturing. Its flagship product, Dataiku DSS, offers visual data preparation, AutoML, model management, and governed MLOps, integrating with existing cloud and on-premise infrastructure. The company aims to democratize data science across technical and business teams, accelerating AI adoption while maintaining governance, transparency, and compliance.

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