IT & Software

Data Modelling Specialist

McGregor Boyall

Glasgow · Scotland · United Kingdom

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.

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Reference: WJ-766_21942461

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