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- Tasks: Design and optimise data models for banking data warehouses on AWS.
- Company: N Consulting Limited, a leader in data solutions.
- Benefits: Competitive daily rate, hybrid work model, and potential contract extension.
- Other info: Opportunity to work in an agile environment with career growth.
- Why this job: Join a dynamic team and shape the future of banking data.
- Qualifications: 8+ years in data modeling, AWS expertise, and strong communication skills.
N Consulting Limited is looking for a Data Modeler based in Northampton, UK. The successful candidate will have over 8 years of experience in Data Modeling, particularly focused on AWS Cloud Data Warehousing, with strong skills in ER Studio and banking domain data modeling.
This hybrid contract role offers £350 - £370 per day for a duration of 6 months, with potential for extension. The candidate should be adept at agile methodologies and problem-solving, with excellent communication skills.
Senior Data Modeler - Banking Data Warehouse (AWS) in London employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeler - Banking Data Warehouse (AWS) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and data modelling sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous data modelling projects, especially those involving AWS. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on agile methodologies and problem-solving scenarios. Practice common interview questions related to data modelling and be ready to discuss your experience in the banking domain.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by hiring managers.
We think you need these skills to ace Senior Data Modeler - Banking Data Warehouse (AWS) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Modeling and AWS Cloud Data Warehousing. We want to see how your skills align with the banking domain, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing enthusiasm for the banking sector and agile methodologies, so let that passion come through.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for candidates who can think on their feet, especially in a fast-paced environment like ours.
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 from our team!
How to prepare for a job interview at N Consulting Limited
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling skills, especially in relation to AWS Cloud Data Warehousing. Be prepared to discuss your experience with ER Studio and how you've applied it in the banking domain. Having specific examples ready will show that you know your stuff.
✨Show Off Your Agile Experience
Since this role requires familiarity with agile methodologies, be ready to share how you've successfully worked in agile teams. Think of a project where you adapted quickly to changes and how that benefited the outcome. This will demonstrate your flexibility and problem-solving skills.
✨Communicate Clearly and Confidently
Excellent communication skills are a must for this position. Practice explaining complex data concepts in simple terms, as you might need to communicate with non-technical stakeholders. Clear communication can set you apart from other candidates.
✨Prepare Questions About the Role
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful questions about the team dynamics, the tools they use, or the challenges they face in the banking data space. This shows your genuine interest in the role and helps you assess if it's the right fit for you.