
1001 - 5000 employees
💰 $400M Series E on 2021-08
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.
🕒 October 22, 2025
🏢🏡 London – Hybrid
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
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1001 - 5000 employees
💰 $400M Series E on 2021-08
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.
• Contribute to building Dataiku DSS core features • Develop tools for data integration, transformation, and cataloging • Optimize workflows for large-scale datasets and improve database support • Collaborate on next-gen AI features • Develop tools to automate retraining, monitoring, and deployment of ML models • Build features for AI compliance, connecting disparate systems and simplifying governance processes
• Significant experience in software engineering, building a real product • Passion for combining backend performance with exceptional frontend user experience. • Willingness to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
Apply Now🕒 October 16, 2025
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