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- Tasks: Design and develop scalable data solutions using Databricks, Python, and AWS.
- Company: Join J.P. Morgan's innovative Digital Intelligence team.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Transform data into actionable insights and drive business performance.
- Qualifications: Experience with Databricks, Python, and a passion for data engineering.
- Other info: Collaborative environment with a focus on innovation and impact.
The predicted salary is between 36000 - 60000 £ per year.
Join our innovative Digital Intelligence team at J.P. Morgan, where we leverage cutting-edge technology to drive data-driven decision-making and enhance business performance. We are seeking a talented and motivated Databricks Data Engineer to join our team and contribute to our mission of transforming data into actionable insights.
As a Data Engineer II at JPMorgan Chase within the Digital Intelligence team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.
Data Engineer II - Databricks and Python in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer II - Databricks and Python in London
✨Tip Number 1
Network like a pro! Reach out to current employees at J.P. Morgan on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects with Databricks and Python. We want to see how you’ve tackled real-world problems, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Ace the interview! Research common data engineering interview questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive job postings that you won’t find anywhere else, so keep an eye out!
We think you need these skills to ace Data Engineer II - Databricks and Python in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Python, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer II position and how you can contribute to our Digital Intelligence team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions using data processing technologies.
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 J.P. Morgan
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Python, and AWS. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to deliver solutions under pressure.
✨Understand the Business Impact
Research J.P. Morgan’s Digital Intelligence team and understand how data-driven decision-making impacts their business. Be ready to discuss how your work as a Data Engineer can contribute to enhancing business performance. This shows that you’re aligned with their mission and can think beyond just the technical aspects.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, current projects, and future goals. This not only shows your interest in the role but also helps you gauge if the company culture is the right fit for you.
