Fullstack Software Engineer - Core

CrossTalent; France; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

Dataiku is hiring a Fullstack Engineer in France to help build the Dataiku DSS platform. You will contribute to core features spanning data preparation, AI, visualization, and governance, shaping an enterprise AI stack.

You’ll collaborate with researchers and engineers, focusing on backend performance and exceptional frontend experiences in a fast‑growing environment.

Qualifications

• Significant experience in software engineering, building a real product.
• Ability to work across frontend and backend technologies and deliver robust features.

Responsibilities

• Contribute to building Dataiku DSS core features across multiple themes.
• Collaborate on AI, ML, data visualization, and platform capabilities.
• Develop scalable backend services and user-centric frontend interfaces.

Skills

Software Engineering

Tools

Python

Java

Angular

PostgreSQL

Job description

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 . 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
• AI & Machine Learning : Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
• Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
• Collaborate with research teams on innovative machine learning experiments
• Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS
• Data Consumption: build the experience that makes data accessible and actionable for everyone.
• Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
• Create innovative interfaces that answer business questions and surface relevant insights using LLMs
• Data Visualization : elevate our data visualization capabilities with high-performance charting tools and dashboards.
• Develop new chart types and optimize visualization performance
• Enhance dash boarding capabilities to deliver fast and flexible experiences
• MLOps : Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
• Build tools to automate retraining, monitoring, and deployment of ML models
• Enhance collaboration features for ML stakeholders
• Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
• Optimize processing engines for scalability and latency
• Expand capabilities to support new databases and cloud platforms
• AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes.
• Develop customizable platforms for managing AI compliance and governance
• Simplify policy enforcement and integration across disparate systems
• Tech stack: Java, Angular, PostgreSQL What you need to be successful
• We’re stack agnostic, so all you need is a significant experience in software engineering, building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

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: [e-mail]

Skills

Software Engineering