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- Tasks: Create data models and collaborate with teams to optimise data solutions.
- Company: Join a leading financial services programme focused on mortgage and savings data.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and data quality.
- Why this job: Make an impact in the financial sector while honing your data skills.
- Qualifications: Strong SQL and data modelling experience, plus excellent communication skills.
The predicted salary is between 50000 - 65000 £ per year.
We are hiring an experienced Data Modeller / Data Analyst to join a major financial services programme focused on mortgage and savings portfolio data solutions. This is a strong opportunity for someone with deep SQL and data modelling expertise who enjoys working closely with business stakeholders and technical teams.
Key Responsibilities
- Create conceptual, logical and physical data models
- Develop ER diagrams and metadata structures
- Work with business stakeholders to understand data requirements
- Support data warehousing and semantic modelling initiatives
- Collaborate with BI, analytics and DBA teams
- Ensure data quality, governance and model optimisation
- Maintain metadata, lineage and modelling standards
Required Skills & Experience
- Strong experience in Data Modelling / Data Analysis
- Advanced SQL skills
- Experience with logical and physical data modelling
- Strong understanding of data warehousing principles
- Experience creating ERD / ER diagrams
- Metadata management experience
- Excellent stakeholder management and communication skills
- Financial services, banking, lending or mortgage domain experience
Desirable
- Erwin experience
- Retail banking or mortgage portfolio exposure
- Semantic modelling / lineage experience
Apply now for immediate consideration.
Data Modeller in Leeds employer: DCV Technologies
Contact Detail:
DCV Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector, especially those who work with data. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've collaborated with business teams in the past and how you can bring that experience to their organisation.
✨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.
We think you need these skills to ace Data Modeller in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data modelling and SQL skills. We want to see how your background aligns with the key responsibilities mentioned in the job description.
Showcase Your Projects: Include specific examples of projects where you've created data models or worked with stakeholders. This helps us understand your hands-on experience and how you approach data challenges.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for your skills and experiences to make it easy for us to see what you bring to the table.
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’re considered for this exciting opportunity!
How to prepare for a job interview at DCV Technologies
✨Know Your Data Modelling Basics
Brush up on your data modelling concepts, especially around creating conceptual, logical, and physical models. Be ready to discuss your experience with ER diagrams and how you've applied these skills in previous roles.
✨Show Off Your SQL Skills
Since advanced SQL skills are a must, prepare to demonstrate your proficiency. Think of specific examples where you've used SQL to solve problems or improve processes, and be ready to answer technical questions that test your knowledge.
✨Understand the Business Side
This role involves working closely with business stakeholders, so be prepared to discuss how you've gathered data requirements in the past. Highlight your communication skills and any experience you have in the financial services sector, particularly in mortgage or savings.
✨Prepare for Collaboration Questions
Collaboration is key in this role, so think about times you've worked with BI, analytics, or DBA teams. Be ready to share examples of how you ensured data quality and governance while maintaining strong relationships with your colleagues.