Python Data Modelling Specialist

Robert Walters

Glasgow, UK

15 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Software Quality Databases Continuous Integration Data Validation Data Governance Serialization Cursor (Graphical User Interface Elements)

+15 more

JSON Python (Programming Language) Enterprise Messaging Systems SQL Databases YAML Data Ingestion GitHub Copilot Snowflake Git Fastapi Collibra Apache Kafka Domain Driven Design GPT Databricks

Job description

We are seeking a hands-on Python Data Modelling Specialist to join our Client, a major US Investment Bank in Glasgow on an initial 12 months contract. You will work within a global engineering team supporting mission-critical middle-office systems. The role combines Python development, data modelling, database technologies, messaging platforms such as Kafka, and large-scale modernization initiatives.

It’s ideal for someone who enjoys solving complex technical challenges in a high-performance enterprise environment and wants exposure to strategic transformation projects within a leading global investment bank.

What You’ll Do:

Design & Govern: Build and maintain large-scale asset models aligned with enterprise governance, maintaining them directly within Collibra.
Develop in Python: Create high-quality data modelling and governance solutions using Pydantic for schema definition, validation, and serialization.
Automate & Integrate: Build reusable Python libraries for data ingestion, lineage, and reporting across complex JSON, YAML, SQL, and API structures.
Leverage AI Tools: Innovate responsibly using AI-assisted coding tools (Copilot, Cursor, Claude) to accelerate development productivity, code quality, and testing.

Requirements

Python & Pydantic: 5+ years of professional Python experience, with deep practical knowledge of Pydantic and FastAPI for data validation and schema design.
Data Governance: Proven background in logical data modelling, data taxonomies, lineage, and enterprise data lifecycles under modern Git/CI/CD practices.
AI-Assisted Dev: Experience utilizing tools like GitHub Copilot, ChatGPT, or Cursor to productionize high-quality code.

Desirable: Collibra APIs/Edge integrations; experience with Snowflake, Databricks, or cloud platforms (AWS/Azure/GCP); knowledge of Data Mesh and domain-driven design.