Senior Python Developer

Henderson Scott
Glasgow, UK
22 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Automation of Tests Code Review Continuous Integration Data Architecture Data Governance Serialization Data Structures Cursor (Graphical User Interface Elements) DevOps Enterprise Information Management JSON Python (Programming Language)
+12 more
Metadata Meta-Data Management SQL Databases Systems Integration YAML GitHub Copilot Git Fastapi Collibra Api Design Restful APIs GPT

Job description

I am looking for an experienced Python Developer with experience of Collibra to deliver robust data structures, metadata models and automation tools for our client in central Glasgow.

What you’ll focus on:

  • Turning regulatory, risk and metadata requirements into asset models and governance patterns the organisation can reuse.
  • Developing Python and Pydantic-based components that support data governance, validation, workflows and integrations.
  • Shaping and configuring Collibra models and operating structures to embed data governance at enterprise scale.
  • Using AI-assisted development tools to improve speed and quality while maintaining security, compliance and accuracy.

Requirements

  • Strong Python development background with hands-on experience of Pydantic and FastAPI for data modelling, validation, schema design, serialisation and API development.
  • Practical experience with JSON, YAML, REST APIs and SQL in data-heavy environments.
  • Extensive experience with Collibra or similar metadata management platforms, including asset model and metamodel design, configuration and governance operating models.
  • Background in metadata and logical data modelling, taxonomies, lineage, data quality, business glossaries, catalogues and governance workflow design.
  • Experience in financial services, ideally banking, risk, compliance, regulatory reporting, cyber, fraud or technology risk, with exposure to large financial data sets.
  • Knowledge of data architecture, enterprise information management, regulated data lifecycles and modern engineering practices such as Git, code review, automated testing, documentation and CI/CD concepts.
  • Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, Cursor or similar, with the ability to validate and productionise generated outputs responsibly.
  • Strong analytical and stakeholder skills, with high attention to detail, strong ownership and the ability to work effectively in a busy environment.

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