Data Modelling Specialist

McGregor Boyall Associates Ltd.

Glasgow, UK

22 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£125,840.0

Working hours

Regular working hours

Job source

www.totaljobs.com

Tech stack

Adaptable Database Systems Automation of Tests Code Review Continuous Integration Data Governance Cursor (Graphical User Interface Elements) JSON Python (Programming Language) Metadata Meta-Data Management SQL Databases YAML

+8 more

Enterprise Data Management GitHub Copilot Git Fastapi Data Lineage Collibra Restful APIs GPT

Job description

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., * 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.

Requirements

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.