Fullstack Software Engineer - Core
Overview
Join to apply for the Fullstack Software Engineer - Core role at Dataiku .
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.
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. 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, and the Gallery, a public instance showcasing example projects.
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
This position is onsite/hybrid from our Paris office or full remote from any part of France.
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.
- Data Visualization: Elevate our data visualization capabilities with high-performance charting tools and dashboards.
- AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
- MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
- Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
- AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
Tech stack notes: Specific stacks are provided per theme and may include Java, Python, Angular/AngularJS, React, D3.js, ECharts, Node.js, Spring, Kubernetes, Docker, Spark, and cloud platforms (AWS, Azure, GCP).
What You Need To Be Successful
- We’re stack agnostic, so you need significant experience in software engineering and 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.
Hiring Process
- Initial call with a member of our Technical Recruiting team (45 min)
- Video call with an Engineering Team Lead (1h30)
- Technical Assessment (Home Test or Live Coding)
- Final Interviews with our VPs of Engineering (2h)
Compliance and Diversity
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku is 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 protected status.
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