Fullstack Software Engineer - Core

Devconnectplatform; France; Remote; EUR 70,000 - 110,000; Full time

Job summary

Dataiku is seeking a Fullstack Engineer to contribute to Dataiku DSS, building core features across data preparation, AI & ML, and data visualization. You will work on tools for data integration, transformation, and visualization, leveraging LLMs and modern frontend/backend stacks.

You will collaborate on AI governance, MLOps, and scalable platform components, with a strong focus on performance and UX. The role supports remote work and offers exposure to a wide range of data sources and cloud

Qualifications

• Significant experience in software engineering, building a real product.
• Passion for combining backend performance with exceptional frontend user experience.
• Ability to work in a fast-paced, high-growth environment.

Responsibilities

• Contribute to building Dataiku DSS core features across themes.
• Develop tools for data integration, transformation, and visualization with LLMs.
• Collaborate on AI and MLOps features to automate pipelines and governance.
• Enhance data visualization and dashboard capabilities for analytics.

Skills

Fullstack development

Frontend UX

Backend performance

High scalability

Tools

AngularJS

Angular

React

D3.js

ECharts

Node.js

Java

Python

Kubernetes

Docker

Spark

AWS

Azure

GCP

Job description

## DescriptionDataiku 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 impactAs 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.- 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- Tech stack: Angular, AngularJS, Java, Python- 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- Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring- 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- Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker- 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- Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP- 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, PostgreSQLWhat 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 scaleWhat does the hiring process look like?- Initial call with a member of our Technical Recruiting team (45min)- Video call with an Engineering Team Lead (1h30)- Technical Assessment to show your skills (Home Test or Live Coding)- Final Interviews with our VPs of Engineering (2h) #LI-RemoteWhat are you waiting for!At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! 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] yourself from fraudulent recruitment activityDataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.