At a Glance
- Tasks: Build innovative features for Dataiku DSS using cutting-edge technologies.
- Company: Join Dataiku, a leader in AI and data science solutions.
- Benefits: Enjoy remote work flexibility, competitive salary, and professional growth opportunities.
- Other info: Dynamic environment with exciting challenges and excellent career advancement potential.
- Why this job: Make a real impact in the AI space while working with a diverse team.
- Qualifications: Experience in software engineering and a passion for frontend and backend development.
The predicted salary is between 60000 - 80000 £ per year.
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. 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 will work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators.
How you’ll make an impact:
- This position is either onsite/hybrid from our London office or full remote from any part of the UK.
- 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.
What you need to be successful:
- We’re stack agnostic, so all you need is 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).
At Dataiku, you will 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!
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.
