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- Tasks: Design and develop scalable data pipelines using Databricks for innovative AI solutions.
- Company: Leading global financial services firm with a focus on security and innovation.
- 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 world of data engineering.
- Qualifications: Proficiency in Python, strong ETL knowledge, and excellent collaboration skills.
- Other info: Be part of a dynamic team driving AI enablement in financial services.
The predicted salary is between 43200 - 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 on Databricks, ensuring high-quality solutions in collaboration with Data Architects and Business Analysts.
Strong proficiency in Python and solid understanding of ETL concepts are required along with excellent collaboration and communication skills. This role offers the opportunity to contribute to innovative AI solutions within a dynamic business environment.
VP Data Engineering, Security Services & AI Enablement in Bournemouth employer: JPMorgan Chase
Contact Detail:
JPMorgan Chase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Data Engineering, Security Services & AI Enablement in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in data engineering or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've worked on, especially those involving Python and ETL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in collaboration with Data Architects and Business Analysts.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace VP Data Engineering, Security Services & AI Enablement in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, especially in Python and ETL concepts. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 makes you a perfect fit for our Security Services Data Modelling and Engineering team.
Showcase Collaboration Skills: Since this role involves working closely with Data Architects and Business Analysts, make sure to mention any past experiences where you’ve successfully collaborated with others. We love teamwork at StudySmarter!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at JPMorgan Chase
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around Databricks and ETL concepts. Be ready to discuss your experience with Python and how you've used it to build scalable data pipelines in the past.
✨Show Off Your Collaboration Skills
This role involves working closely with Data Architects and Business Analysts, so be prepared to share examples of how you've successfully collaborated in previous projects. Highlight any teamwork experiences that showcase your communication skills.
✨Get Familiar with AI Solutions
Since this position offers a chance to contribute to innovative AI solutions, do some research on current trends in AI within data engineering. Bring up any relevant projects or ideas you have that could align with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges they face. This shows your genuine interest in the role and helps you understand how you can make a meaningful impact in their dynamic business environment.
