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- Tasks: Lead the creation of enterprise-level data models and govern reporting structures.
- Company: Dynamic recruitment agency focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact by enhancing organisational clarity through data modelling.
- Qualifications: Strong experience in conceptual, logical, and physical modelling; familiarity with Erwin and Power BI.
- Other info: Join a collaborative team in a fast-paced environment with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A recruitment agency is seeking a Senior Data Modelling Specialist in the UK to take ownership of enterprise-level data models. This role requires expertise in creating clear, reusable data structures and governing the semantic layer for reporting.
The ideal candidate must have strong experience in conceptual, logical, and physical modelling within complex, multi-domain environments. Familiarity with tools like Erwin and Power BI is desirable.
Apply if you are passionate about data modelling dedicated to enhancing organisational clarity.
Senior Data Modeller: Enterprise Data Modeling Lead employer: SF Recruitment
Contact Detail:
SF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeller: Enterprise Data Modeling Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data modelling field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and projects. This will give potential employers a clear view of what you can bring to the table, especially when it comes to enterprise-level data structures.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of tools like Erwin and Power BI. Be ready to discuss how you've used these tools in past projects and how they can enhance organisational clarity in data modelling.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and passion for data modelling. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Modeller: Enterprise Data Modeling Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in enterprise-level data modelling. We want to see how you've created clear, reusable data structures and governed the semantic layer for reporting.
Showcase Your Tools: If you've worked with tools like Erwin and Power BI, shout about it! We love seeing candidates who are familiar with the tools that can help us enhance organisational clarity.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your skills and experiences shine through without any fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at SF Recruitment
✨Know Your Data Models Inside Out
Make sure you can discuss your experience with conceptual, logical, and physical modelling in detail. Be prepared to share specific examples of how you've created clear, reusable data structures in previous roles.
✨Familiarise Yourself with Relevant Tools
Brush up on your knowledge of Erwin and Power BI before the interview. If you've used these tools, be ready to explain how they helped you in your data modelling projects and how they can benefit the company.
✨Understand the Business Context
Research the company and its industry to understand their data needs. This will help you tailor your answers to show how your skills can enhance organisational clarity and support their goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data modelling challenges. Practice articulating your thought process and decision-making steps clearly, as this will demonstrate your expertise and problem-solving abilities.
