Fullstack Software Engineer - Core

Dataiku
Netherlands, Amsterdam; Netherlands, RemotePosted 3 March 2026

Job Description

<div class="content-intro"><p>Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.</p></div><p><strong>Why Engineering at Dataiku?</strong></p> <p>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<a href="https://www.dataiku.com/company/engineering/"> here</a>.</p> <p>Here are some useful links so you preview what we do at Dataiku: <a href="https://www.dataiku.com/product/key-capabilities/">Dataiku's Key Capabilities</a> ; <a href="https://github.com/dataiku">Dataiku's Github</a>, you can also take a look at the <a href="https://gallery.dataiku.com/home/">Gallery</a>, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). </p> <p>Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo <a href="https://pages.dataiku.com/end-to-end-dataiku-demo?utm_id=14648494444--148281341717--655855787975--dataiku+trialutm_source=emea-adwordsutm_medium=paid-searchgad_source=1gclid=CjwKCAjw1K-zBhBIEiwAWeCOF-ePIr0yim7uDNnOf685kiftYIfiTKWz-PNnwLnQ9zPc_cSwgYDAVhoCOH0QAvD_BwE">here</a> or try the free version <a href="https://pages.dataiku.com/interactive-data-sheet?utm_id=14648494444--148281341717--655855787975--dataiku%20trialutm_source=emea-adwordsutm_medium=paid-searchutm_campaign=GLO%20CONTENT%20Interactive%20Data%20Sheetgad_source=1gclid=CjwKCAjw1K-zBhBIEiwAWeCOF63Lb-1EuHX8HNe5jIbCBbocmW7C8tLI4gVUK1edcWBsZSn_n5BGYBoCwA0QAvD_BwE">here</a>.</p> <p><strong>How you’ll make an impact</strong></p> <p><span style="font-size: 8pt;"><em>This position is either onsite/hybrid from our <strong>Amsterdam</strong> office or <strong>full</strong> <strong>remote</strong> from any part of Netherlands.</em></span></p> <p>As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:</p> <ul> <li><strong>Data Preparation</strong>: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. <ul> <li>Add new capabilities for data integration, transformation, and visualization using LLMs</li> <li>Optimize workflows for large-scale datasets and improve database support</li> <li>Strengthen developer tools like Jupyter notebooks and SQL workbenches</li> <li>Tech stack: Java, Python, AngularJS, Angular</li> </ul> </li> </ul> <ul> <li><strong>AI Machine Learning</strong>: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.</li> <ul> <li>Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models</li> <li>Collaborate with research teams on innovative machine learning experiments</li> <li>Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS</li> </ul> </ul> <ul> <li><strong data-stringify-type="bold">Data Consumption: </strong>build the experience that makes data accessible and actionable for everyone. <ul> <li>Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more</li> <li>Create innovative<strong data-stringify-type="bold"> </strong>interfaces<strong data-stringify-type="bold" ... (truncated, view full listing at source)
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