Data Engineer - Dataiku Cloud
DataikuEurope, Middle East, and Africa; France, Paris; France, Remote; Germany, Berlin - Munzstrasse 12; Germany, Remote; Netherlands, Amsterdam; Netherlands, Remote; Spain, Remote; United Kingdom, London; United Kingdom, RemotePosted 25 March 2026
Job Description
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 .
About The Role:
Dataiku is looking for a Data Engineer to help build reliable data pipelines for our Operations and SRE teams supporting our Saas offering. You will collaborate closely with our Site Reliability Engineering (SRE) and Product Operations teams to build data pipelines, custom applications, integrations, and automations that eliminate manual toil and streamline our infrastructure and data management. You will be working extensively on Dataiku to accelerate our operations and analytics by building solutions, pipelines and agents.
Missions:
Build pipelines to load data from various systems into Dataiku via S3 or Snowflake (AWS, K8s, kube, prometheus…)
Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates
In collaboration with the Enterprise Data and Analytics and Business Systems teams, increase the reliability and scale of our product usage data. You will extract data from our core product and ensure accurate, real-time ingestion into downstream tools and perform ad-hoc analyses.
Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities
Contribute to the health of our data systems by designing and documenting good practices for our data usage
Who you are
Bachelor's degree in Computer Science or related field.
3+ years of experience in a similar role.
Basic scripting or development experience involving Python and SQL.
Experience with one or more of the following: Dataiku, Snowflake, Databricks, BigQuery…
Knowledge of Public Cloud eco-system (AWS, Azure, GCP, …)
Experience orchestrating pipelines and implementing data governance practices.
Experience leveraging APIs.
Curiosity and desire to learn new skills and contribute to the team’s success across multiple fields.
Clear communication skills and ability to work with teammates from various backgrounds.
Strong problem-solving skills and creativity in designing robust and easy-to-use solutions.
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! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page .
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. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recr ... (truncated, view full listing at source)
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