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- Tasks: Create and refine data models to support innovative projects at Barclays.
- Company: Join Barclays, a leading financial institution with a focus on technology and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work in a collaborative environment with excellent career advancement potential.
- Why this job: Be part of a dynamic team shaping the future of data in finance.
- Qualifications: Experience in data modelling and familiarity with tools like Erwin or ER/Studio.
The predicted salary is between 50000 - 70000 £ per year.
hackajob is collaborating with Barclays to connect them with exceptional professionals for this role. Barclays is seeking a Project Data Modeller to join our Data Services team within Shared Platform Engineering, part of the Current Accounts, Payments and Lending (CAPL) business area.
As a Project Data Modeller, you will work closely with project and platform teams to understand data requirements, translate them into logical data models, and help guide the physical database changes that bring those models to life.
Requirements
- Previous experience as a Data Modeller within large, complex organisations.
- An excellent understanding of data modelling concepts and techniques (conceptual, logical, and physical).
- Experience with data modelling tools such as Erwin, ER/Studio, or equivalent.
- You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job‑specific technical skills.
This role will be located at our Knutsford office.
Data Modeller employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Barclays on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data modelling skills. We should be ready to discuss specific projects where we’ve used tools like Erwin or ER/Studio. Real examples will make us stand out!
✨Tip Number 3
Show off our problem-solving skills! During interviews, we can expect questions about how we handle complex data challenges. Let’s think of scenarios where we’ve successfully navigated tricky data issues.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight the skills Barclays is looking for.
We think you need these skills to ace Data Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeller role. Highlight your experience with data modelling concepts and tools like Erwin or ER/Studio. We want to see how your skills match what Barclays is looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Project Data Modeller position. Share specific examples of your past work that relate to the job description.
Showcase Your Technical Skills: Don’t forget to mention your technical skills in your application. If you’ve worked on complex data models or have experience with risk and controls, let us know! This will help us understand your expertise better.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at hackajob
✨Know Your Data Modelling Concepts
Brush up on your understanding of conceptual, logical, and physical data models. Be ready to discuss how you've applied these concepts in previous roles, especially in large organisations. This will show that you’re not just familiar with the theory but can also implement it effectively.
✨Familiarise Yourself with Tools
Make sure you’re comfortable with data modelling tools like Erwin or ER/Studio. If you’ve used similar tools, be prepared to explain how they compare and how you adapted to new software in the past. This demonstrates your flexibility and technical prowess.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and strategic thinking. Think of specific examples where you’ve navigated challenges in data modelling projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Understand Barclays' Business Context
Research Barclays and their Current Accounts, Payments, and Lending (CAPL) business area. Understanding their data needs and how your role as a Project Data Modeller fits into their strategy will help you tailor your responses and show genuine interest in the position.