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- Tasks: Design and develop scalable data pipelines using Databricks for high-quality data solutions.
- Company: Leading global financial services firm with a focus on AI transformation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the financial sector.
- Qualifications: Proficiency in Python and experience with ETL concepts required.
- Other info: Collaborate with cross-functional teams in a vibrant Bournemouth setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading global financial services firm is seeking a Data Engineer to join their Security Services Data Modelling and Engineering team. The successful candidate will design and develop scalable data pipelines using Databricks, collaborating with cross-functional teams to provide high-quality data solutions.
Strong proficiency in Python and experience with ETL concepts are essential. This role is based in Bournemouth, UK, and offers the chance to work in a dynamic financial environment focused on AI transformation.
VP Data Engineer - Security Services Pipelines & AI in Bournemouth employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Data Engineer - Security Services Pipelines & AI in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've worked on using Databricks or Python. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on ETL concepts and AI trends in the financial sector. We want you to be ready to discuss how you can contribute to their dynamic environment!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace VP Data Engineer - Security Services Pipelines & AI in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in ETL concepts can contribute to our Security Services team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, we’d love to see examples of how you’ve successfully collaborated in the past. Highlight any teamwork experiences that demonstrate your ability to work well with others.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and ETL concepts. Be ready to discuss specific projects where you've designed data pipelines, especially using Databricks. The more detailed examples you can provide, the better!
✨Understand the Financial Landscape
Since this role is in a financial services firm, it’s crucial to have a grasp of how data engineering impacts security services. Familiarise yourself with current trends in AI transformation within finance to show that you’re not just a tech whiz but also understand the business context.
✨Collaboration is Key
This position involves working with cross-functional teams, so be prepared to talk about your experience collaborating with others. Share examples of how you’ve successfully worked with different departments to deliver high-quality data solutions.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team’s current projects or challenges they face. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
