At a Glance
- Tasks: Build and manage data pipelines on cloud infrastructure for finance and regulatory needs.
- Company: Join J.P. Morgan, a leading global financial services firm.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Collaborative environment with a focus on innovation and reliability.
- Why this job: Make a real impact in the finance sector while developing your skills in data engineering.
- Qualifications: Experience in data engineering and strong problem-solving skills required.
The predicted salary is between 80000 - 100000 £ per year.
J.P. Morgan in London, England, seeks a Lead Data Engineer to join the International Consumer Bank. You will deliver end-to-end data pipelines on cloud infra, design domain models, and ensure scalable, secure, and maintainable data solutions across finance and regulatory domains.
You will collaborate with product teams and engineers to translate business needs into robust data architectures, implement tests, and optimize performance while keeping systems reliable and up-to-date.
#J-18808-LjbffrLead Data Engineer — International Consumer Banking (UK) employer: J.P. Morgan
As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to excel. The Head of Markets Tax Operations role offers unparalleled opportunities for professional growth, collaboration across diverse teams, and the chance to drive innovation in tax operations while working in vibrant locations like Spain, Italy, and Hungary. Join us to be part of a culture that values excellence, embraces technology, and prioritises employee development, ensuring you can make a meaningful impact in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer — International Consumer Banking (UK)
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
