Fullstack Software Engineer - Core

dataiku · RemoteRemotemid

In short

▸Desarrollar funcionalidades centrales de Dataiku DSS para preparación de datos y IA.
▸Trabajar con tecnologías avanzadas como LLMs, Jupyter, SQL y APIs en un entorno fullstack.
▸Destacado: contribuir directamente a productos que operacionalizan IA en empresas globales.

Ningún requisito de idioma mencionado

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What they ask for

✓Experiencia en desarrollo fullstack con Java y Python.
✓Conocimiento en AngularJS y/o Angular.
✓Experiencia con integración y transformación de datos.
✓Habilidades en desarrollo de herramientas para data science.
✓Capacidad para trabajar con grandes conjuntos de datos.
✓Conocimiento básico de ML o IA, especialmente LLMs.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

JavaPythonAngularJSAngularJupyterSQLLLMsAPIsData PreparationWorkflow Optimization

Who should you write to at dataiku?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 . Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github , you can also take a look at the Gallery , a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 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 here or try the free version here . How you’ll make an impact As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes: • Data Preparation : Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. • Add new capabilities for data integration, transformation, and visualization using LLMs • Optimize workflows for large-scale datasets and improve database support • Strengthen developer tools like Jupyter notebooks and SQL workbenches • Tech stack: Java, Python, AngularJS, Angular • AI & Machine Learning : Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference

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