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

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