Data Engineer
About the role
About Dataiku
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. Connected to data platforms, cloud infrastructure, and AI services, Dataiku empowers organizations to run AI across multi-vendor environments with centralized governance.
Role Overview
Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. You will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development.
What you’ll do
- Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
- Develop engineering expertise within Snowflake for data engineering and security/governance features.
- Build & maintain Python & SQL data replication & data pipelines on large & often complex data sets.
- Build & maintain data quality metrics & observability to help drive data quality standards.
- Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance.
- Troubleshoot data pipelines, platform automations, data access systems.
- Help field and troubleshoot various community questions and challenges.
- Own, maintain and enhance data operation processes, monitoring & data quality systems.
- Design data models for both short term and long term use cases to support data warehouse scalability.
- Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics.
What you’ll bring
- Experience with data engineering tools such as Snowflake, Dataiku, and GitHub.
- Strong proficiency in Python & SQL.
- Familiarity with DataOps processes and CI/CD (e.g., GitHub Actions).
- Excellent verbal and written communication skills.
- Sharp analytical mind and a positive, collaborative attitude.
This is an internal and non-client facing role.