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- Tasks: Create and optimise data models for investment banking, ensuring quality and compliance.
- Company: Join a top-tier bank known for innovation and integrity in financial services.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Why this job: Make an impact in the financial sector with cutting-edge data solutions.
- Qualifications: Experience in data modelling and strong SQL skills required.
- Other info: Dynamic role with opportunities for growth in a global network.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a tier 1 bank, a globally recognised professional services institution operating across major financial markets. The organisation provides a broad range of services including assurance, advisory, tax, risk, regulatory consulting, transaction support, and technology-enabled transformation. With a strong focus on innovation, data-driven decision-making, and regulatory excellence, the bank partners with corporations, governments, and financial institutions to manage risk, enhance performance, and navigate complex financial landscapes.
Role Requirements:
- Develop conceptual and logical data models across key investment banking domains (e.g. clients, products, trades, positions, risk, finance, market and collateral data).
- Ensure models align to agreed modelling standards, naming conventions, and reusable design patterns.
- Translate business requirements into clear, structured data models aligned to authoritative upstream sources.
- Facilitate workshops with SMEs and data teams to validate definitions and resolve data discrepancies.
- Embed modelling standards, metadata, and quality controls in line with enterprise data governance frameworks.
- Operate within a high-throughput, iterative delivery (factory) model, supporting multiple concurrent data products.
- Collaborate closely with architects, governance, engineering, onsite leadership, and offshore teams to ensure scalable and maintainable solutions.
Required Experience:
- Proven experience (typically 3-7+ years) in data modelling within financial services, banking, or large enterprise environments.
- Strong expertise in conceptual, logical, and physical data modelling.
- Hands-on experience with enterprise data modelling tools (e.g. ERwin, ER/Studio, PowerDesigner, or similar).
- Advanced SQL skills and strong understanding of relational database design (e.g. Oracle, SQL Server, PostgreSQL).
- Experience designing and optimising data models for:
- Data warehouses (Kimball/Inmon methodologies).
- Data marts.
- Operational data stores (ODS).
Data Modeller in Glasgow employer: Data Inc. (UK) Ltd
Contact Detail:
Data Inc. (UK) Ltd 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 finance and data modelling sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate your expertise in conceptual and logical modelling. Make sure it’s easy to access and share when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling tools. Be ready to discuss your experience with enterprise data modelling and how you’ve tackled challenges in previous roles. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s land that dream job together!
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 in data modelling, especially within financial services, and showcase any relevant tools you've used like ERwin or Hackolade. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data modelling and how your background fits with our client's needs. Don't forget to mention your experience with conceptual and logical modelling in investment banking – that's a big plus for us!
Showcase Your Technical Skills: Be sure to highlight your technical skills in SQL and your understanding of relational database design. If you've worked with data warehouses or operational data stores, let us know! We love seeing candidates who can demonstrate their hands-on experience with enterprise data modelling tools.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your application!
How to prepare for a job interview at Data Inc. (UK) Ltd
✨Know Your Data Models
Make sure you brush up on your knowledge of conceptual and logical data models, especially in the context of investment banking. 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 comfortable with data modelling tools like ERwin or Hackolade before the interview. If you can, practice using them to create a sample model. This will show your hands-on experience and make you stand out.
✨Understand the Business Context
Research the bank's services and how they leverage data for decision-making. Being able to connect your data modelling skills to their specific needs will demonstrate your understanding of the financial landscape.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, especially with SMEs and data teams. Think of examples where you've facilitated workshops or resolved discrepancies, as this will highlight your ability to work within a collaborative culture.