Fullstack Software Engineer - Core

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

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.

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio.

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.
• 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.
• Data Visualization : Elevate our data visualization capabilities with high-performance charting tools and dashboards.
• Develop new chart types and optimize visualization performance.
• Enhance dashboarding capabilities to deliver fast and flexible experiences.
• 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.
• 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.

What you need to be successful

What does the hiring process look like?

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!

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