Python Engineer / Data Modeller

Salary: £70,000 - 75,000 per year

Requirements:

• Strong Python development skills with a minimum of ten years professional experience, including practical delivery using Pydantic and FastAPI for data modelling, validation, schema design and API development, alongside JSON, YAML, REST APIs and SQL.
• Strong hands-on experience with Collibra, including asset model and metamodel design, platform configuration and governance operating models.
• Experience with metadata modelling, data taxonomies, lineage, data quality, business glossaries and governance workflow design.
• Experience within financial services, ideally in risk, compliance, regulatory reporting or technology risk environments, with exposure to large-scale financial data.
• Knowledge of data architecture and modern engineering practices including Git-based development, code review, automated testing and CI/CD concepts.
• Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude or Cursor, with the ability to validate and productionise generated outputs responsibly.
• Understanding of financial services regulatory frameworks such as BCBS 239, GDPR, DORA, MiFID or Solvency II, and how they influence governance and controls.
• Experience with Collibra APIs, workflow development or Edge/Connect integrations.
• Experience integrating metadata platforms with data platforms such as Snowflake, Databricks, Azure, AWS or Informatica.
• Knowledge of data mesh, data products or domain-driven design concepts.
• Data governance, data management or cloud certifications.

Responsibilities:

• Design, enhance and maintain asset models within a leading metadata management platform, configuring asset types, relations, attributes, domains and workflows.
• Develop high-quality Python solutions for data modelling and governance use cases, using Pydantic for schema definition, validation, serialisation and API-ready data structures.
• Build reusable Python libraries and automation patterns supporting data ingestion, governance workflows, data quality, lineage and reporting at enterprise scale.
• Design solutions to process and govern large-scale financial and risk data sets, with attention to performance, data integrity and regulatory control requirements.
• Work with APIs, JSON, YAML and SQL, using AI-assisted coding tools responsibly to improve delivery, reviewing all outputs for security, compliance and maintainability.

Technologies:

• AI
• API
• AWS
• Azure
• ChatGPT
• CI/CD
• Cloud
• Copilot
• Cursor
• Databricks
• FastAPI
• Git
• GitHub
• Informatica
• JSON
• Python
• REST
• SQL
• Security
• Snowflake

More:

We are a consultancy supporting a leading global financial services organisation. We are hiring a hands-on Data Modelling Specialist / Senior Python Developer to join our data governance function within a technology risk and controls team. The role is based in Glasgow, and candidates must be commutable to Glasgow. This is a fixed-term contract or inside IR35 contract opportunity.

last updated 34 week of 2026