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 Slough employer: Xcede
Join a leading broadcasting client as a Security Architect and be part of a dynamic team driving significant cyber transformation. With a hybrid working model that promotes work-life balance, you will have the opportunity to collaborate with talented professionals while enjoying a supportive culture that prioritises employee growth and development. This role not only offers competitive compensation but also the chance to make a meaningful impact in a forward-thinking organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer / Data Modeller in Slough
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We think you need these skills to ace Python Engineer / Data Modeller in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Xcede, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Xcede. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
