Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)
Databricks · Paris, France · Field Engineering - Other
Dataiku · IA & Data · United Kingdom, London
Publicada esta semana y todavía listada por el editor: postula sin esperar.
Comprobado cada seis horas en el sitio del editor. La antigüedad cuenta desde la fecha de publicación original, incluso tras una republicación.
Co-develop production data science projects with customers, provide platform training and support, and develop custom Python plugins to enhance Dataiku's functionality.
Leído en el texto de la oferta por un modelo de lenguaje el 14 de septiembre de 2026 — indicativo, compruébalo en la oferta original.
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team mostly uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques and to explain their work to other data scientists and clients.
Publicada el 9 de septiembre de 2026 · vista por primera vez el 9 de septiembre de 2026
Databricks · Paris, France · Field Engineering - Other
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