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- Tasks: Design and develop scalable data pipelines using Databricks.
- 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: Make a real impact on business insights and AI solutions.
- Qualifications: Experience in data pipeline development and strong Python skills.
- Other info: Collaborative team environment with exciting projects.
The predicted salary is between 42000 - 84000 £ per year.
A leading global financial services firm is seeking a Data Engineer to join their Security Services Data Modelling and Engineering team. You will design and develop scalable data pipelines on Databricks, collaborating directly with Data Architects and Business Analysts.
The ideal candidate will have proven experience with data pipeline development, strong proficiency in Python, and a solid understanding of ETL concepts. This role offers an opportunity to impact business insights and AI solutions.
Senior Data Engineer: Databricks, ETL & AI Enablement in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Databricks, ETL & AI Enablement in London
✨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 pipeline projects, especially those using Databricks and 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 solutions. Be ready to discuss how you've tackled challenges in past projects and how you can bring that expertise to the team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Senior Data Engineer: Databricks, ETL & AI Enablement in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipeline development and Python. 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 passionate about data engineering and how your background makes you a perfect fit for our team. Let us know what excites you about working with Databricks and AI solutions.
Showcase Your ETL Knowledge: Since this role involves a solid understanding of ETL concepts, make sure to mention any specific tools or methodologies you’ve used. We love seeing practical examples of how you’ve tackled data challenges in the past!
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 from our team!
How to prepare for a job interview at J.P. Morgan
✨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 developed data pipelines, especially using Databricks. The more detailed examples you can provide, the better!
✨Understand the Business Context
Since this role involves collaborating with Data Architects and Business Analysts, it’s crucial to understand how your work impacts business insights and AI solutions. Research the company’s services and think about how data engineering plays a role in their success.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of data pipeline development and Databricks. Practice explaining your thought process clearly and concisely, as communication is key when working with cross-functional teams.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss challenges you've faced in previous roles and how you overcame them. Highlight your analytical thinking and problem-solving abilities, as these are essential for a Senior Data Engineer position.
