
Empowering organizations with AI-driven analytics
Dataiku, headquartered in New York City, is a leading AI platform that empowers organizations to harness their data for analytics and AI model creation. With over 1,000 employees and $847.6 million in funding, Dataiku serves major clients like Unilever, GE, and Comcast. The company launched its Data...
Dataiku offers a flexible hybrid work policy, allowing employees to work from the office 1-5 days a week, alongside a work-from-anywhere policy for up...
Dataiku fosters a culture centered around continuous innovation and community support. The company emphasizes collaboration between data experts and e...

Dataiku • Europe, Middle East, and Africa
Dataiku is seeking a Full Stack Engineer to build innovative AI-driven applications that solve complex business problems. You'll work with technologies like JavaScript, Python, React, and Node.js, and collaborate with data scientists and industry experts. This role is open to candidates in France, the UK, Germany, and the Netherlands, with hybrid work options available.
You have a solid background in full stack development, with experience in both front-end and back-end technologies. You are proficient in JavaScript and Python, and have hands-on experience with frameworks like React and Node.js. You understand how to build user-centric applications that leverage AI capabilities, and you are comfortable working in a collaborative environment with data scientists and other engineers. You have a passion for creating intuitive user interfaces and are eager to tackle complex business challenges through technology.
You are familiar with cloud services, particularly AWS, and have experience deploying applications in cloud environments. Your knowledge of Docker and containerization practices allows you to streamline development and deployment processes. You are a problem solver who enjoys working on innovative projects that have a real impact on business operations.
Experience with data science technologies and an understanding of AI principles would be a plus. Familiarity with agile methodologies and tools like Jira can enhance your effectiveness in this role. You are open to learning new technologies and adapting to the evolving landscape of AI and data solutions.
In this role, you will design, develop, and deploy AI-powered applications that integrate Dataiku’s backend capabilities with user-friendly front-end interfaces. You will collaborate closely with data scientists to understand their needs and translate them into functional applications that meet enterprise requirements. Your work will involve building innovative solutions that enhance business processes across various verticals, including Manufacturing, Life Sciences, and Finance.
You will be responsible for ensuring that applications are scalable, maintainable, and performant. This includes writing clean, efficient code, conducting code reviews, and participating in testing and debugging processes. You will also engage in continuous improvement practices, seeking feedback from users and stakeholders to refine and enhance the applications you build.
As part of the engineering team, you will contribute to the overall architecture and design of the platform, ensuring that it remains robust and adaptable to future needs. You will have the opportunity to work with cutting-edge technologies and be part of a team that values innovation and quality.
Dataiku provides a collaborative and inclusive work environment where you can thrive and grow your skills. We offer flexible working arrangements, allowing you to choose between onsite and remote work options. You will have access to ongoing training and development opportunities to help you advance your career.
Our culture emphasizes teamwork and knowledge sharing, and you will be encouraged to contribute your ideas and insights to improve our products and processes. We believe in the power of AI to transform businesses, and you will play a key role in making that vision a reality. Join us at Dataiku and be part of a mission that empowers organizations to harness the full potential of their data and AI capabilities.
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