The Role
We are seeking a hands-on Python Data Modelling Specialist to shape scalable data governance and asset modelling solutions in a high-impact, fast-paced environment. You will turn complex regulatory and metadata requirements into robust, platform-ready models and reusable design patterns, working with cutting-edge AI-assisted development tools.
What You’ll Do
- Design & Govern: Build and maintain large-scale asset models aligned with enterprise governance, maintaining them directly within Collibra.
- Develop in Python: Create high-quality data modelling and governance solutions using Pydantic for schema definition, validation, and serialization.
- Automate & Integrate: Build reusable Python libraries for data ingestion, lineage, and reporting across complex JSON, YAML, SQL, and API structures.
- Leverage AI Tools: Innovate responsibly using AI-assisted coding tools (Copilot, Cursor, Claude) to accelerate development productivity, code quality, and testing.
What We Are Looking For
- Python & Pydantic: 5+ years of professional Python experience, with deep practical knowledge of Pydantic and FastAPI for data validation and schema design.
- Collibra Expertise: Strong hands-on experience with Collibra (or similar metadata platforms), including metamodel design and workflow configuration.
- Data Governance: Proven background in logical data modelling, data taxonomies, lineage, and enterprise data lifecycles under modern Git/CI/CD practices.
- AI-Assisted Dev: Experience utilizing tools like GitHub Copilot, ChatGPT, or Cursor to productionize high-quality code.
Desirable
Collibra APIs/Edge integrations; experience with Snowflake, Databricks, or cloud platforms (AWS/Azure/GCP); knowledge of Data Mesh and domain-driven design.