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- Tasks: Innovate data structuring and develop APIs for a cutting-edge cloud data platform.
- Company: Leading global financial services firm with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of market data solutions.
- Qualifications: Experience in Python, SQL/NoSQL, and cloud technologies required.
- Other info: Collaborative environment with a strong emphasis on compliance and scalability.
The predicted salary is between 36000 - 60000 £ per year.
A leading global financial services firm is seeking a Data Modelling Engineer Associate in Glasgow to innovate data structuring for market data. This role requires expertise in Python, SQL/NoSQL, and cloud technologies, along with experience in data integration and API development.
You will collaborate with cross-functional teams to build scalable data solutions and ensure compliance with business and regulatory standards.
Ideal candidates should have proven experience in data modelling and familiarity with AWS services.
Data Modeling & API Engineer for Cloud Data Platform in Glasgow employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeling & API Engineer for Cloud Data Platform in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, API developments, and any cloud tech you've worked with. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python, SQL/NoSQL, and AWS knowledge. Be ready to discuss how you've tackled data integration challenges in the past.
✨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 Modeling & API Engineer for Cloud Data Platform in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL/NoSQL, and cloud technologies. We want to see how your skills align with the role of a Data Modelling Engineer Associate, 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 passionate about data modelling and how your background makes you a perfect fit for our team. Let us know what excites you about working in a global financial services firm.
Showcase Your Projects: If you've worked on any data integration or API development projects, be sure to mention them! We love seeing real-world applications of your skills, especially if they involve AWS services or scalable data 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 important updates during the process. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL/NoSQL, and cloud technologies. Be ready to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Modelling Experience
Prepare examples of your previous work in data modelling. Highlight how you structured data for market analysis and the impact it had on decision-making processes. This will demonstrate your hands-on experience and understanding of the role.
✨Understand API Development
Since this role involves API development, be prepared to talk about your experience in this area. Discuss any APIs you've built or integrated, focusing on how they improved data accessibility and compliance with business standards.
✨Collaborate and Communicate
This position requires working with cross-functional teams, so be ready to discuss how you’ve successfully collaborated in the past. Share examples of how you communicated complex technical concepts to non-technical stakeholders, ensuring everyone is on the same page.
