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- Tasks: Develop secure cloud technology products using PySpark and Databricks.
- Company: Leading financial services firm in Scotland with a focus on innovation.
- Benefits: Diverse and inclusive workplace with growth opportunities.
- Why this job: Join an agile team and make a real impact in financial technology.
- Qualifications: Over 3 years of experience in Python, PySpark, and Databricks.
- Other info: Embrace a dynamic environment that values diversity.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services firm in Scotland is seeking a skilled PySpark/AWS Data Engineer III to join their Payments Technology Regulatory Reporting team. This role requires over 3 years of hands-on experience and proficiency in Python, PySpark, and Databricks among other skills.
The successful candidate will be responsible for developing secure cloud technology products and contributing to an agile team environment. This position values diversity and inclusion and offers opportunities for growth.
Senior Data Engineer - PySpark, Databricks & AWS in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - PySpark, Databricks & AWS in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your PySpark and Databricks projects. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Ace the interview by practising common technical questions related to AWS and data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Engineer - PySpark, Databricks & AWS in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark, Databricks, 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 the role and how your background makes you a perfect fit for our Payments Technology Regulatory Reporting team.
Showcase Your Team Spirit: Since we value an agile team environment, share examples of how you’ve collaborated with others in past roles. We love seeing candidates who can work well with diverse teams!
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 this exciting opportunity!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you brush up on your Python, PySpark, and Databricks 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.
✨Showcase Your Agile Experience
Since the role involves working in an agile team environment, be prepared to share examples of how you've contributed to agile projects. Talk about your role in sprints, stand-ups, and how you adapt to changing requirements.
✨Understand the Company’s Values
This firm values diversity and inclusion, so do a bit of research on their culture. Be ready to discuss how you can contribute to a diverse team and why inclusion matters to you.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team, the technology stack, and the company's future projects. This shows your genuine interest and helps you assess if it's the right fit for you.
