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- Tasks: Design and develop data models for AWS Cloud Data Warehouse and analytics solutions.
- Company: Join a leading firm in the banking sector with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative Agile team culture with global delivery opportunities.
- Why this job: Make an impact in a dynamic environment while working with cutting-edge cloud technologies.
- Qualifications: 8+ years of data modeling experience, especially in banking and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
Location: Northampton, UK
Work Mode: Hybrid - 3 Days Onsite
Job Type: Contract - 6 months
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
- Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka
• Work in an Agile environment and participation 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 employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨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 cloud technologies. This will give you an edge when chatting with recruiters.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and your problem-solving skills. Be ready to discuss how you've tackled data issues in past projects, especially in a team setting.
✨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 our hiring team.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Modeler, especially with AWS Cloud Data Warehouses. We want to see how your skills match the job description, so don’t be shy about showcasing your 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. Mention your experience in the banking domain and any cloud technologies you’ve worked with, like Snowflake or Redshift.
Showcase Your Agile Experience: Since we work in an Agile environment, it’s important to mention your experience with scrum practices. Talk about your participation in daily standups and how you’ve contributed to sprint planning and retrospectives.
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 updates regarding your application status!
How to prepare for a job interview at N Consulting Global
✨Know Your Data Modelling 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 your experience with ER Studio and how you've applied it in real-world scenarios, particularly in the banking domain.
✨Showcase Your Cloud Experience
Familiarise yourself with cloud technologies like Snowflake, Redshift, Apache Flink, and Apache Kafka. Be prepared to share specific examples of how you've used these tools in past projects, as this will demonstrate your hands-on experience and understanding of cloud environments.
✨Emphasise Agile Methodologies
Since the role involves working in an Agile environment, be ready to talk about your experience with scrum practices. Highlight any participation in daily standups, sprint planning, and retrospectives, as this shows you can thrive in a collaborative setting.
✨Communicate Clearly and Effectively
Strong verbal and written communication skills are crucial for this role. Practice articulating your thoughts clearly, especially when discussing complex technical solutions. This will help you convey your ideas effectively to diverse stakeholders during the interview.