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- Tasks: Design and model data solutions for AWS Cloud Data Warehouse in a dynamic team.
- Company: Join a forward-thinking company in the banking sector with a hybrid work culture.
- Benefits: Competitive contract pay, flexible work environment, and opportunities for skill enhancement.
- Other info: Collaborate in an Agile setting and stay ahead of industry trends.
- Why this job: Make an impact by shaping data strategies in a global delivery environment.
- Qualifications: 8+ years as a Data Modeler with strong skills in cloud technologies and banking.
The predicted salary is between 60000 - 75000 £ 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.
SQL Data employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SQL Data
✨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 have loads of opportunities that match your skills, and applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace SQL Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Modeler, especially in AWS Cloud Data Warehousing. 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 with data modelling in the banking domain and any cloud technologies you've worked with. Let us know what excites you about this opportunity!
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 or sprint planning, and how you’ve collaborated with teams to deliver quality solutions.
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. Plus, it shows us you’re keen to join the StudySmarter team!
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 past projects and how you've tackled challenges in the banking domain.
✨Familiarise Yourself with Agile Practices
Since the role involves working in an Agile environment, it’s crucial to understand Agile methodologies. Prepare to talk about your experience with scrum daily standups and sprint planning, and how you’ve contributed to team retrospectives.
✨Showcase Your Cloud Knowledge
Highlight your experience with cloud technologies like Snowflake, Redshift, and Apache Kafka. Be prepared to discuss how you’ve used these tools in previous roles and how they can benefit the company’s data solutions.
✨Communicate Clearly and Confidently
Strong verbal and written communication skills are key. Practice explaining complex data issues in simple terms, as you’ll need to collaborate with various stakeholders. Remember, clarity can make all the difference!