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- Tasks: Enhance data structuring and integration for market data using Python and SQL.
- Company: Join a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, professional development, and a collaborative work culture.
- Why this job: Make a real impact by creating scalable data solutions and APIs.
- Qualifications: Strong analytical skills and experience with agile methodologies required.
- Other info: Exciting opportunity for career growth in a dynamic professional environment.
The predicted salary is between 30000 - 42000 £ per year.
A global financial services leader seeks an MDS Data Modelling Engineer Associate to enhance data structuring and integration for market data. The role involves leveraging expertise in Python and SQL to create scalable data solutions and APIs. The ideal candidate will define schemas and integrate diverse datasets into platforms like AWS. Successful applicants will have strong analytical skills, collaborative spirit, and experience with agile methodologies. This position offers an excellent opportunity to contribute to impactful data solutions in a professional environment.
MDS Data Modelling Engineer Associate — APIs & Cloud in Glasgow employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MDS Data Modelling Engineer Associate — APIs & Cloud in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This is your chance to demonstrate how you can enhance data structuring and integration.
✨Tip Number 3
Prepare for those interviews! Brush up on your analytical skills and be ready to discuss agile methodologies. We want to see how you can contribute to impactful data solutions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace MDS Data Modelling Engineer Associate — APIs & Cloud in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and SQL in your application. We want to see how you can leverage these skills to create scalable data solutions, so don’t hold back!
Be Specific About Your Experience: When detailing your past roles, focus on your experience with data structuring and integration. Mention any projects where you defined schemas or worked with platforms like AWS to give us a clear picture of your capabilities.
Emphasise Collaboration: Since we value a collaborative spirit, share examples of how you've worked in teams, especially in agile environments. This will show us that you can thrive in our dynamic setting.
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’re considered for this exciting opportunity!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in creating scalable data solutions or APIs. It’s a great way to show your technical expertise!
✨Understand Data Structuring
Familiarise yourself with data structuring concepts and schemas. Be prepared to explain how you would approach integrating diverse datasets into platforms like AWS. This shows that you not only understand the theory but can also apply it practically.
✨Show Your Collaborative Spirit
Since this role requires a collaborative approach, think of examples where you’ve worked effectively in a team. Highlight your experience with agile methodologies and how you’ve contributed to team success in previous roles.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data strategies and how they envision the role contributing to impactful data solutions. This demonstrates your genuine interest in the position and the company.
