Senior Data Engineer - PySpark, Databricks & AWS in Glasgow
Senior Data Engineer - PySpark, Databricks & AWS

Senior Data Engineer - PySpark, Databricks & AWS in Glasgow

Glasgow Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop cloud technology products and deliver solutions for business objectives.
  • Company: Leading global financial institution with a focus on innovation.
  • Benefits: Inclusive work environment, growth opportunities, and competitive salary.
  • Why this job: Join a dynamic team and make an impact in the financial sector.
  • Qualifications: 3+ years of experience in data lifecycle management and operational stability.
  • Other info: Exciting career growth potential in a supportive atmosphere.

The predicted salary is between 48000 - 72000 £ per year.

A leading global financial institution is seeking a Data Engineer III specializing in Python, PySpark, and AWS to join their Payments Technology Regulatory Reporting team in Glasgow. In this role, you will develop trusted cloud technology products and be responsible for delivering solutions that align with business objectives.

Applicants should have 3+ years of hands-on experience in data lifecycle management and operational stability. An inclusive work environment and opportunities for growth are emphasized.

Senior Data Engineer - PySpark, Databricks & AWS in Glasgow employer: JPMorganChase

As a leading global financial institution, we pride ourselves on fostering an inclusive work environment that champions diversity and collaboration. Our Glasgow team offers exceptional opportunities for professional growth, with access to cutting-edge technology and projects that drive innovation in the financial sector. Join us to be part of a culture that values your contributions and supports your career development while working on impactful solutions.
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Contact Detail:

JPMorganChase Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer - PySpark, Databricks & AWS in Glasgow

✨Tip Number 1

Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!

✨Tip Number 2

Prepare for the interview by brushing up on your PySpark and AWS skills. We should be ready to showcase our hands-on experience with real-world examples that align with the job description.

✨Tip Number 3

Don’t forget to research the company’s values and recent projects. This will help us tailor our responses and show that we’re genuinely interested in contributing to their goals.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can track our progress and stay updated on any new opportunities.

We think you need these skills to ace Senior Data Engineer - PySpark, Databricks & AWS in Glasgow

Python
PySpark
AWS
Data Lifecycle Management
Operational Stability
Cloud Technology Development
Solution Delivery
Business Alignment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, PySpark, 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 passionate about data engineering and how you can contribute to our Payments Technology Regulatory Reporting team. Keep it concise but impactful!

Showcase Your Experience: With 3+ years of hands-on experience in data lifecycle management, make sure to detail specific examples of your work. We love seeing how you've tackled challenges and delivered solutions that meet business objectives.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!

How to prepare for a job interview at JPMorganChase

✨Know Your Tech Inside Out

Make sure you brush up on your Python, PySpark, and AWS skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

✨Understand the Business Context

Familiarise yourself with the financial institution's goals, especially in relation to Payments Technology and Regulatory Reporting. This will help you align your answers with their business objectives during the interview.

✨Showcase Your Problem-Solving Skills

Prepare to discuss examples of how you've managed the data lifecycle and ensured operational stability. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

✨Emphasise Inclusivity and Growth

Since the company values an inclusive work environment, be ready to share your thoughts on teamwork and collaboration. Also, express your eagerness for personal and professional growth within the role.

Senior Data Engineer - PySpark, Databricks & AWS in Glasgow
JPMorganChase
Location: Glasgow

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