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- Tasks: Build and maintain a cloud-native data platform with scalable data pipelines.
- Company: Join JPMorgan Chase & Co., a leader in financial services.
- Benefits: Enjoy competitive salary, health benefits, and a dynamic work environment.
- Other info: Collaborate in an agile team and grow your career in a fast-paced environment.
- Why this job: Make an impact by ensuring data quality and operational reliability.
- Qualifications: 5+ years in data engineering, strong Python skills, and cloud tech knowledge.
The predicted salary is between 60000 - 80000 £ per year.
JPMorgan Chase & Co. is seeking a Data Engineer in London to build and maintain a robust cloud-native data platform. Candidates should possess at least 5 years of experience in data engineering, strong Python programming skills, and familiarity with cloud technologies like AWS and Azure.
The role involves:
- Developing scalable data pipelines
- Ensuring data quality
- Collaborating with teams in an agile environment
This position is full time, focusing on operational reliability and performance across data solutions.
Senior Data Engineer: Cloud Lakehouse & Pipelines 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: Cloud Lakehouse & Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at JPMorgan Chase & Co. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data pipelines and cloud projects. When you get that interview, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Stay updated on industry trends! Familiarise yourself with the latest cloud technologies and data engineering practices. This knowledge will not only help you in interviews but also show that you're passionate about the field.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles like the Senior Data Engineer position. Plus, it shows you're serious about joining our team at JPMorgan Chase & Co.
We think you need these skills to ace Senior Data Engineer: Cloud Lakehouse & Pipelines
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in data engineering. We want to see how you've tackled challenges and built robust data solutions in the past, so don’t hold back!
Python is Key: Since strong Python skills are a must, give us examples of projects where you've used Python effectively. Whether it’s building pipelines or ensuring data quality, let your coding prowess shine through!
Cloud Knowledge Matters: Familiarity with AWS and Azure is crucial for this role. Share any relevant experiences you have with these platforms, especially in developing cloud-native solutions. We love seeing how you’ve leveraged cloud technologies!
Be Agile and Collaborative: This role involves working in an agile environment, so mention any teamwork experiences you have. We’re looking for candidates who thrive in collaboration, so tell us how you’ve worked with others to achieve great results!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python programming skills and get familiar with AWS and Azure. Be ready to discuss specific projects where you've built data pipelines or worked with cloud technologies, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you overcame them. Think of examples that highlight your ability to ensure data quality and operational reliability, as these are key aspects of the role.
✨Emphasise Collaboration
Since the role involves working in an agile environment, be ready to discuss how you've collaborated with cross-functional teams. Share examples of how you’ve communicated effectively and contributed to team success in past projects.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.