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- Tasks: Design and implement enterprise-level data models for AI-driven finance projects.
- Company: Leading digital consultancy with a focus on innovation and collaboration.
- Benefits: Hybrid working model, comprehensive benefits package, and career progression opportunities.
- Why this job: Join a dynamic team and shape the future of finance with your data modelling skills.
- Qualifications: Experience in data modelling tools like ERWin and strong collaboration skills.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital consultancy is seeking a Mid-Senior Data Modeller to design and implement enterprise-level data models in London. The role requires collaboration with senior stakeholders, expertise in tools like ERWin, and hands-on experience in relational and dimensional data modelling.
Benefits include a hybrid working model, comprehensive benefits package, and opportunities for career progression within a well-established practice.
Data Modeller for AI-Driven Finance | Hybrid London in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller for AI-Driven Finance | Hybrid London in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the data modelling field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and projects. This is your chance to demonstrate your expertise with tools like ERWin and your hands-on experience in relational and dimensional data modelling.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling scenarios and case studies. We recommend practising your responses to technical questions and thinking about how you’d collaborate with senior stakeholders.
✨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 and eager to join our team.
We think you need these skills to ace Data Modeller for AI-Driven Finance | Hybrid London in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data modelling and the tools mentioned in the job description, like ERWin. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data modelling and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Collaboration Skills: Since this role involves working with senior stakeholders, highlight any past experiences where you've successfully collaborated with others. We love seeing teamwork in action!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at Harnham
✨Know Your Data Modelling Tools
Make sure you brush up on your knowledge of ERWin and any other relevant tools. Be ready to discuss how you've used these in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since the role involves working with senior stakeholders, prepare examples that highlight your ability to collaborate effectively. Think about times when you successfully communicated complex data concepts to non-technical team members.
✨Prepare for Technical Questions
Expect some technical questions related to relational and dimensional data modelling. Review key concepts and be prepared to explain your thought process when designing data models. Practice articulating your approach clearly.
✨Research the Company and Its Culture
Familiarise yourself with the consultancy's values and recent projects. This will not only help you tailor your answers but also show your genuine interest in the company and how you can contribute to its success.
