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. 

Dataiku

Full-stack Engineer

• Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1,000+ employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI. As enterprises worldwide become more and more invested in the cloud, Dataiku looks to expand its services and offerings to adapt to rapidly shifting customer needs. Dataiku brings together Large-scale data analytics and AI technologies into a unique and easy-to-use platform. It allows data scientists to process data with SQL databases, Spark, and Kubernetes with user-friendly visual interfaces or code.
• To help us fulfill this mission, we are looking for a talented full-stack software engineer to work on the Data analytics part of Dataiku and other core features of the platform. Our current technical stack is based on a mix of Java, Javascript and Python. The mission of the Self-service Analytics teams is to maintain and improve the core features of Dataiku that are dedicated to Business Analysts & Developers, such as:
  - Data integration: this includes reading from and writing to Snowflake, BigQuery, Redshift, Azure Synapse, flat files on S3 (CSV, Parquet, Excel, …)
  - Data preparation & transformation through graphical UI, code or ChatGPT-like inputs, using the latest processing engines: Spark on K8s, SQL with UDFs, Snowpark, etc.
  - Data catalog with automated quality assessment
  - Jupyter notebooks & SQL workbench
  - Help and onboarding experience
  - Automation & public REST APIs
• Here are some tasks you will be working on:
  - Add new ways to clean up data using Large Language Models such as ChatGPT
  - Optimize our layout engine to be able to render complex workflows of 1000 datasets faster
  - Support new databases capabilities to read/write or process data faster
  - Improve our help system to make it smarter
  - Strengthen our git support, including automatic and graphical merge conflicts resolutions
  - Add autocomplete to our SQL workbench supporting a wide range of databases

Software Engineer Data Platform - Paris or Remote France

• Play a crucial role in integrating Dataiku DSS with various technologies
• Work with APIs to design the best possible integration with DSS
• Develop production-ready code using best software engineering practices
• Collaborate with support team and clients to improve DSS experience
• Write technical documentation
• Integrate with existing ecosystem partners
• Contribute to the future of AI and data analytics

Software Engineer - Plugins - Paris or Remote

Machine Learning Engineer

• Work on the core of a world-renowned AI platform
• Focus on machine learning and statistics capabilities
• Build cutting-edge product with real impact
• Collaborate with AI Lab on emerging ML topics
• Use latest technologies in big data and ML landscape

Remote Jobs at Dataiku

Dataiku

Software Engineer Data Platform - Paris or Remote France

Dataiku

Software Engineer - Plugins - Paris or Remote

Dataiku

Senior Software engineer AI & Machine Learning - Paris or Remote France

Dataiku