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- Tasks: Create and refine data models for key financial services, ensuring quality and compliance.
- Company: Leading financial services organisation with a focus on innovation and collaboration.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Join a transformative project that shapes critical business functions in finance.
- Qualifications: Experience in data modelling within financial services and strong communication skills.
- Other info: Dynamic role with the chance to work alongside senior stakeholders and diverse teams.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services organisation is seeking an experienced Data Modeller to support a major data transformation programme. This role plays a key part in shaping high-quality, governed data products that underpin critical business functions including trading, risk, finance and operations. Based in Glasgow, this is a 6-month contract offering the opportunity to work within a complex, regulated environment and collaborate with senior stakeholders across business and technology teams.
Role & Responsibilities
- Develop conceptual and logical data models for core financial services data domains, including Trade, Market Data, Instrument, Counterparty and Risk.
- Align all models to a common modelling language, naming conventions and reusable design patterns.
- Ensure data product models provide a clear and traceable link between business requirements and upstream authoritative data sources.
- Facilitate structured workshops and working sessions with SMEs across risk, finance, operations and data teams.
- Validate definitions, resolve inconsistencies and capture detailed modelling requirements.
- Define and embed modelling standards, metadata requirements and data quality controls aligned to enterprise data governance frameworks.
- Operate within a factory-style delivery model, producing multiple data product models concurrently in an iterative manner.
- Coordinate with onsite leadership and offshore teams to accelerate delivery and support effective knowledge transfer.
- Work closely with enterprise architects, data governance leads, solution designers and engineering teams to ensure models are clear, maintainable and fit for purpose.
Skills & Experience
- Strong experience delivering conceptual and logical data models within financial services environments.
- Solid understanding of complex, regulated data domains.
- Hands-on experience with data modelling tools such as Hackolade and Erwin.
- Ability to translate business requirements into structured, enterprise-ready data models.
- Experience working in large, multi-stakeholder organisations.
- Excellent communication and stakeholder engagement skills.
- Experience working within a data product, data mesh or domain-aligned data model.
- Familiarity with enterprise data governance and metadata frameworks.
- Experience collaborating with distributed or offshore delivery teams.
Data Modeller in Glasgow employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for a Data Modeller role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your data modelling skills. Be ready to discuss your experience with tools like Hackolade and Erwin, and how you've tackled complex data domains in the past. We want to see that you can translate business needs into solid data models!
✨Tip Number 3
Showcase your communication skills! During interviews, highlight your ability to engage with stakeholders across various teams. Share examples of how you've facilitated workshops or resolved inconsistencies in data requirements—this will set you apart from the crowd.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s make it happen!
We think you need these skills to ace Data Modeller in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeller role. Highlight your experience with conceptual and logical data models, especially in financial services. We want to see how your skills align with the job description!
Showcase Your Tools: Mention any hands-on experience you have with data modelling tools like Hackolade and Erwin. We love seeing candidates who are familiar with the tools we use, so don’t hold back on this!
Engage with Stakeholders: Since this role involves collaboration with senior stakeholders, share examples of how you've successfully engaged with different teams in the past. We’re looking for strong communication skills, so let that shine through!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Intec Select
✨Know Your Data Models
Make sure you brush up on your knowledge of conceptual and logical data models, especially within financial services. Be ready to discuss how you've developed these models in the past and how they align with business requirements.
✨Familiarise Yourself with Tools
Get hands-on experience with data modelling tools like Hackolade and Erwin before the interview. Being able to talk about your experience with these tools will show that you're prepared and capable of hitting the ground running.
✨Engage with Stakeholders
Prepare examples of how you've successfully collaborated with senior stakeholders in previous roles. Highlight your communication skills and how you've facilitated workshops or working sessions to gather requirements and resolve inconsistencies.
✨Understand Governance Frameworks
Brush up on enterprise data governance and metadata frameworks. Be ready to discuss how you've defined and embedded modelling standards and data quality controls in your previous projects, as this is crucial for the role.
