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- Tasks: Lead the design and operation of scalable data pipelines using Python and AWS.
- Company: Join JPMorgan Chase & Co., a leader in financial services.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a dedicated team in a dynamic environment.
- Why this job: Make an impact by architecting data solutions for analytics and ML use cases.
- Qualifications: 8-12+ years in data engineering with strong Databricks expertise.
The predicted salary is between 70000 - 90000 £ per year.
JPMorgan Chase & Co. is looking for a Senior Data Engineer in the City of Westminster, England. This role involves leading the design and operation of scalable data pipelines using Python and AWS, delivering high-quality datasets aligned to data mesh principles.
Key responsibilities include:
- Architecting data solutions
- Developing pipelines
- Implementing engineering standards
The ideal candidate will have 8-12+ years in data engineering, strong hands-on expertise with Databricks, and experience in CI/CD practices. Join a dedicated team focused on analytics and ML use cases.
Senior Data Engineer: Databricks & Data Mesh Lead employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Databricks & Data Mesh Lead
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase & Co. on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data engineering projects, especially those involving Databricks and AWS. This will help us demonstrate our hands-on expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and CI/CD practices. We can even set up mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to highlight our alignment with the data mesh principles they value.
We think you need these skills to ace Senior Data Engineer: Databricks & Data Mesh Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in Databricks, Python, and AWS, as well as any relevant projects that showcase your ability to design scalable data pipelines.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past work that align with data mesh principles and CI/CD practices, and let your passion for data engineering shine through!
Showcase Your Technical Skills: In your application, don’t shy away from detailing your technical skills. Mention your hands-on experience with Databricks and any other tools you've used in data engineering. We want to see how you can contribute to our team right from the start!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, AWS, and Databricks. Brush up on your knowledge of data mesh principles and be ready to discuss how you've applied these technologies in past projects. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to data pipeline design and engineering standards. Think about challenges you've faced in previous roles and how you overcame them. This will demonstrate your critical thinking and adaptability.
✨Familiarise Yourself with CI/CD Practices
Since this role involves CI/CD, be ready to discuss your experience with continuous integration and deployment. Highlight any tools or frameworks you’ve used and how they improved your workflow. This shows you’re not just a coder but a well-rounded engineer.
✨Engage with the Team's Focus
Research JPMorgan Chase & Co.'s analytics and ML use cases. Be prepared to discuss how your skills can contribute to their goals. Showing genuine interest in their projects will set you apart and demonstrate that you’re a team player.