IT & Software

Data Modelling Specialist

McGregor Boyall Associates Limited

Glasgow · Scotland · United Kingdom

Data Modelling Specialist Glasgow | Hybrid

3 days in office | 12-month contract | £484/day PAYE Were looking for an experienced

Senior Python Developer / Data Modelling Specialist

to join a leading financial services organisations 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 . Youll 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 were 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

TPBN1_UKTJ

Reference: WJ-5375_5762232

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