Fullstack Software Engineer - Core

Dataikujobs; France; Sur place; EUR 50 000 - 75 000; Plein temps

Résumé du poste

Dataikujobs is seeking a Fullstack Engineer to contribute to Dataiku DSS core features, including data integration and AI functionalities. This role allows for onsite/hybrid from Paris or full remote throughout France. Ideal candidates will have significant software engineering experience and a passion for optimizing both backend performance and user interfaces.

The role includes working across various themes such as MLOps, data preparation, and governance. Join us to make a significant impact in AI!

Qualifications

• Significant experience in software engineering.
• Passion for combining backend performance with frontend user experience.
• Ability to work in a fast-paced environment.

Responsabilités

• Contribute to building Dataiku DSS core features.
• Develop tools for data integration and transformation.
• Collaborate on next-gen AI features.

Connaissances

Significant experience in software engineering

Backend performance optimization

Frontend user experience

Outils

Java

Python

Angular

React

Docker

Kubernetes

PostgreSQL

Description du poste

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.

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

This position is either 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.
  • 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, 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.

What 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-Remote

What 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 reasonable‑[e-mail].