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- Tasks: Design and develop data models for AWS Cloud Data Warehouse and analytics solutions.
- Company: Join N Consulting Ltd, a leader in innovative data solutions.
- Benefits: Competitive daily rate, flexible working environment, and opportunities for professional growth.
- Why this job: Make an impact in the banking domain while working with cutting-edge technology.
- Qualifications: 8+ years of data modeling experience, especially in cloud and banking.
- Other info: Collaborative Agile environment with diverse teams and global delivery focus.
Location: London, United Kingdom
Salary: £380 - £400 /day
Job Type: Contract
Date Posted: April 1st, 2026
Minimum 8+ years of experience working as Data Modeler for AWS Cloud Data Warehouse
Key Skills required:
- Must have Data Modeling Experience on Data Warehouse & Analytics solution
- ER Studio
- Cloud experience preferred
- Strong Data Modeling Experience in Banking Domain
Responsibilities:
- Work in an Agile environment and participate in scrum daily standups, sprint planning reviews and retrospectives.
- Understand project requirements and translate them into technical solutions which meet the project quality standards.
- Ability to work in a team in a diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.
- Strong problem solving and good analytical skills.
- Excellent verbal and written communication skills.
- Experience and desire to work in a Global delivery environment.
- Stay up to date with new technologies and industry trends in Development.
Data Modeler in London employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data modelling and banking sectors. Attend meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, especially those related to AWS and analytics solutions. This will give you an edge when chatting with recruiters.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and scrum practices. Be ready to discuss how you've collaborated with teams to solve data issues in past projects.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills, so make sure you check them out and submit your application directly.
We think you need these skills to ace Data Modeler in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeler role. Highlight your 8+ years of experience and any specific projects that showcase your skills in data modelling, especially in the banking domain.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use examples from your past work to show how you've successfully used ER Studio and worked with AWS Cloud Data Warehouses.
Be Clear and Concise: When writing your application, keep it clear and to the point. We love a good story, but make sure you’re also getting straight to the facts about your experience and how it relates to the job.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy and ensures your application goes directly to us!
How to prepare for a job interview at N Consulting Limited
✨Know Your Data Inside Out
Make sure you brush up on your data modelling skills, especially in the context of AWS Cloud Data Warehousing. Be ready to discuss specific projects where you've applied these skills, particularly in the banking domain.
✨Showcase Your Agile Experience
Since the role involves working in an Agile environment, be prepared to share examples of how you've participated in scrum meetings, sprint planning, and retrospectives. Highlight your ability to adapt and collaborate with diverse teams.
✨Communicate Clearly
Strong verbal and written communication skills are a must. Practice explaining complex data concepts in simple terms, as you'll need to translate project requirements into technical solutions for various stakeholders.
✨Stay Current with Trends
Demonstrate your passion for the field by discussing recent technologies or trends in data modelling and analytics. Showing that you're proactive about learning can set you apart from other candidates.