At a Glance
- Tasks: Design and develop data models using Python, ensuring compliance and governance.
- Company: Join a leading consultancy in the financial services sector.
- Benefits: Competitive salary, flexible contract options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Make an impact in data governance while working with cutting-edge technologies.
- Qualifications: 10+ years of Python experience and expertise in data modelling and governance.
The predicted salary is between 110000 - 110000 £ per year.
Location: Glasgow (candidates must be commutable to Glasgow)
Contract type: FTC >£110K or Contract (Inside IR35) £600 per day
Our client, a consultancy supporting a leading global financial services organisation, is looking for a hands-on Data Modelling Specialist/Senior Python Developer to join their data governance function, sitting within a technology risk and controls team.
We are looking for candidates with strong Python development experience, alongside hands-on Collibra metadata management expertise. Experience in data modelling, governance, APIs, SQL and financial services would be particularly relevant. You will work closely with data governance, architecture, technology, risk and compliance teams, turning complex regulatory and metadata requirements into robust models and platform-ready solutions.
What You'll Do
- 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.
Required Skills and Experience
- 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.
Good to Have
- 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.
Python Engineer / Data Modeller in London employer: All The Top Bananas
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We think this is how you could land Python Engineer / Data Modeller in London
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We think you need these skills to ace Python Engineer / Data Modeller in London
Some tips for your application 🫡
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to All The Top Bananas, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at All The Top Bananas.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at All The Top Bananas.
