Senior Data Engineer Lead – Python, SQL, Cloud Microservices

Senior Data Engineer Lead – Python, SQL, Cloud Microservices

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
JPMorganChase

At a Glance

  • Tasks: Lead a team to create scalable, cloud-native data solutions using Python and SQL.
  • Company: A top global financial services firm in London with a focus on innovation.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Other info: Embrace Agile practices in a collaborative and supportive workplace.
  • Why this job: Join a dynamic team and make an impact in the world of finance through technology.
  • Qualifications: 3+ years in software engineering with expertise in AWS, Python, and SQL.

The predicted salary is between 70000 - 90000 £ per year.

A leading global financial services firm in London seeks a Data Engineering Lead to drive Agile practices and deliver scalable, cloud-native solutions. The ideal candidate will have at least 3 years of experience in software engineering, with strong skills in AWS, Python, and SQL.

Responsibilities include:

  • Leading a team of engineers
  • Participating in Agile ceremonies
  • Collaborating with stakeholders

This role offers a chance to work in a diverse environment committed to innovative technology solutions.

Senior Data Engineer Lead – Python, SQL, Cloud Microservices employer: JPMorganChase

As a leading global financial services firm based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our employees benefit from extensive growth opportunities, competitive compensation packages, and the chance to work with cutting-edge technology in a vibrant city known for its financial prowess. Join us to be part of a team that values your contributions and supports your professional development in a fast-paced, Agile environment.

JPMorganChase

Contact Details:

JPMorganChase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer Lead – Python, SQL, Cloud Microservices

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work in financial services or data engineering. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and cloud microservices. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on Agile practices and team leadership. Be ready to discuss how you've led teams and delivered scalable solutions in past roles. Confidence is key!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.

We think you need these skills to ace Senior Data Engineer Lead – Python, SQL, Cloud Microservices

AWS
Python
SQL
Agile Practices
Team Leadership
Collaboration
Software Engineering

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with Python, SQL, and AWS in your application. We want to see how you've used these skills in real-world projects, so don’t hold back!

Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention your experience with Agile practices and leading teams, as it’s super important for us to find someone who fits right in.

Be Yourself:We love authenticity! Let your personality shine through in your application. Share your passion for technology and how you approach problem-solving – it helps us get to know you better.

Apply Through Our Website:Don’t forget to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!

How to prepare for a job interview at JPMorganChase

Know Your Tech Inside Out

Make sure you brush up on your Python, SQL, and AWS skills. Be ready to discuss specific projects where you've used these technologies, and think about how you can apply them in a cloud-native environment.

Showcase Your Leadership Skills

As a Data Engineering Lead, you'll need to demonstrate your ability to lead a team. Prepare examples of how you've successfully managed projects or mentored junior engineers, and be ready to discuss your approach to Agile practices.

Understand the Company Culture

Research the firm’s values and commitment to innovation. Be prepared to explain how your personal values align with theirs and how you can contribute to their diverse environment.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, especially in an Agile setting.