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- Tasks: Design and develop scalable data architectures and efficient data pipelines.
- Company: Leading global financial services firm with a people-first culture.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a direct impact on customers through innovative data projects.
- Qualifications: Strong programming skills in Python, JVM languages, SQL, and cloud services.
- Other info: Collaborative environment with a focus on compliance and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A leading global financial services firm is seeking a Senior Lead Engineer to design and develop scalable data architectures. Ideal candidates will have robust programming skills in Python and a JVM language, along with expertise in SQL and cloud services. This role emphasizes a collaborative, people-first culture and the opportunity to work on innovative projects that impact customers directly. Candidates will also be responsible for ensuring compliance with data regulations and creating efficient data pipelines.
Senior Lead Data Engineer - Data Platform & Pipelines employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Data Engineer - Data Platform & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info on what they’re looking for.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, SQL, and cloud services. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding data regulations. Practice common interview questions related to data architectures and pipelines, so you can confidently demonstrate your expertise.
✨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 show your enthusiasm for joining our people-first culture.
We think you need these skills to ace Senior Lead Data Engineer - Data Platform & Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming prowess in Python and any JVM languages you know. We want to see how your skills can help us design and develop those scalable data architectures!
Be Clear About Your Experience: When detailing your past projects, focus on your experience with SQL and cloud services. We love seeing how you've tackled challenges and created efficient data pipelines in your previous roles.
Emphasise Collaboration: Since we value a people-first culture, share examples of how you've worked collaboratively in teams. Show us how you can contribute to our innovative projects while keeping the team spirit alive!
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 get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
Make sure you’re well-versed in Python, JVM languages, SQL, and cloud services. Brush up on your knowledge of data architectures and be ready to discuss how you've used these technologies 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 designing data pipelines or ensuring compliance with data regulations. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your thought process and the impact of your solutions.
✨Emphasise Collaboration
Since this role values a people-first culture, be ready to share examples of how you’ve worked collaboratively in teams. Discuss how you’ve communicated complex technical concepts to non-technical stakeholders and how you’ve contributed to a positive team environment.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in data engineering and financial services. Be prepared to discuss how emerging technologies could impact the industry and how you would leverage them in your role. This shows your passion for the field and your commitment to continuous learning.
