Data Modelling Specialist - Senior Python Developer

Skills, experience, and technical capabilities

Desired skills

• Strong Python development skills with practical experience using Pydantic and FastAPI for data modelling, validation, schema design, serialization, API development, and service integration, alongside JSON, YAML, REST APIs, and SQL.
• Strong hands-on experience with Collibra or similar metadata management platforms, including asset model and metamodel design, platform configuration, governance operating models, and stewardship structures.
• Experience with metadata modelling, logical data modelling, data taxonomies, lineage, data quality, business glossaries, catalogues, critical data elements, and governance workflow design.
• Experience in financial services, ideally within banking, risk, compliance, regulatory reporting, cyber, fraud, or technology risk environments, with exposure to large-scale financial data.
• Knowledge of data architecture, enterprise information management, regulated data lifecycles, and modern engineering practices including Git-based development, 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, refine, and productionize generated outputs responsibly.
• Strong analytical, problem-solving, communication, documentation, and stakeholder management skills, with the ability to influence across business, technology, and control functions.
• High attention to detail, strong ownership, and the ability to thrive in a fast-paced environment while delivering clear, reusable, and governable outcomes.

Good to have skills

• Understanding of financial services regulatory and industry frameworks such as BCBS 239, GDPR, CCPA, DORA, MiFID, Basel, Solvency II, or equivalent standards, and how they influence governance, traceability, controls, and data management design.
• Experience with Collibra APIs, workflow development, import/export tooling, Edge/Connect integrations, or related integration patterns.
• Experience integrating Collibra with data platforms such as Snowflake, Databricks, Azure, AWS, GCP, Informatica, data quality tools, or enterprise data platforms.
• Knowledge of data mesh, data products, domain-driven design, enterprise data marketplace concepts, and data ingestion pipeline
• Data governance, data management, cloud, or related professional certifications

Qualifications

• Bachelor's degree in computer science, Software Engineering, Information Systems, Data Engineering, or a related technical discipline.
• Minimum 7 years of professional experience in Python development, with hands-on delivery across data modelling, API or service development, automation, validation frameworks, or enterprise data solutions.