Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your Python development and data modelling expertise within a leading financial services organization, with a competitive daily rate of £484 PAYE. You'll thrive here if you enjoy designing scalable data models and governance solutions, collaborating with diverse stakeholders, and utilizing cutting-edge AI tools. Apply today to make a significant impact and advance your career in data risk and resilience.
Quick Overview
Job Description
Data Modelling Specialist
Glasgow | Hybrid – 3 days in office | 12-month contract | £484/day PAYE
We're looking for an experienced Senior Python Developer / Data Modelling Specialist to join a leading financial services organisation's Technology – Cyber Data Risk & Resilience team in Glasgow.
This is an exciting opportunity for a hands-on technologist who enjoys working at the intersection of Python development, data modelling and data governance. You'll help design scalable data models and governance solutions supporting enterprise data, risk and regulatory requirements.
Key responsibilities
- Design and maintain enterprise data and metadata models.
- Develop Python solutions using Pydantic and FastAPI.
- Configure and enhance Collibra asset models and governance workflows.
- Build reusable automation, validation and integration components.
- Work with REST APIs, JSON, YAML and SQL.
- Support data quality, lineage, taxonomy and metadata management.
- Collaborate with technology, architecture, risk, compliance and business stakeholders.
- Leverage AI-assisted development tools such as GitHub Copilot, ChatGPT or Claude responsibly.
What we're looking for
- Strong senior-level Python development experience.
- Hands-on experience with Pydantic for data modelling, validation and schema design.
- Experience with FastAPI, REST APIs, JSON, YAML and SQL.
- Strong understanding of data modelling, metadata, data governance and data quality.
- Hands-on experience with Collibra or a similar data governance/metadata platform.
- Experience with data lineage, taxonomies, business glossaries and governance workflows.
- Ideally, experience within financial services, banking, risk, compliance or regulatory environments.
- Familiarity with Git, code review, automated testing and CI/CD practices.
- Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude or Cursor.
Please apply today to be considered
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