Role Overview
We are supporting our client in scaling and evolving its centralized Dataiku DSS platform, which powers ML and data workflows across the group.
This is a hands-on platform engineering role, focused on owning, optimizing, and enabling the Dataiku environment - not as a user or data scientist, but as a technical SME and enabler across multiple business units.
You'll help ensure the platform is secure, scalable, and user-friendly while collaborating with internal teams to integrate it with cloud infrastructure, enterprise services, and ML pipelines.
Key Responsibilities
* Act as SME for Dataiku DSS: configure, govern, troubleshoot, and evolve the platform
* Build and maintain reusable components, project templates, and automation scripts
* Collaborate with infrastructure, MLOps, cloud, and data science teams to ensure optimal usage
* Support user onboarding, promote best practices, and maintain documentation
* Contribute to governance, compliance, and internal enablement initiatives
* Troubleshoot platform performance issues and help streamline ML workflows
* Help shape the long-term roadmap for Dataiku’s integration within Toyota’s data ecosystem
Requirements
- Dataiku DSS (core platform – admin & developer-level use)
- Python (for scripting, automation, plugin development, API integration)
- AWS – S3, Lambda, EC2, IAM
- Terraform – infrastructure as code
- GitHub Actions / CI/CD – for deployment and automation workflows
- Docker – containerization and deployment
- REST APIs, monitoring tooling, and documentation platforms