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- Tasks: Design and develop scalable data pipelines on Databricks for impactful security services.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and contribute to AI-driven business insights.
- Qualifications: Experience in data pipeline development, strong Python skills, and ETL knowledge.
- Other info: Dynamic team environment with significant career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services firm is seeking a Data Engineer to join their Security Services team. In this role, you will design and develop scalable data pipelines and reusable datasets on Databricks while collaborating with Data Architects and Business Analysts.
The ideal candidate will have proven experience developing data pipelines, strong proficiency in Python, and a solid understanding of ETL concepts. This position offers a dynamic environment where you can play a pivotal role in powering business insights and AI solutions.
VP, Databricks Data Engineering for Security Services in England employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Databricks Data Engineering for Security Services in England
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services and data engineering space. LinkedIn is your best mate here—connect with people who work at companies you're interested in, especially those in security services.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've done using Databricks and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on ETL concepts and data engineering principles. Practice explaining your past projects and how they relate to the role. We want you to be confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace VP, Databricks Data Engineering for Security Services in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and Python. 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 role and how your background in ETL concepts can contribute to our Security Services team. Let us know what makes you tick!
Showcase Collaboration Skills: Since this role involves working closely with Data Architects and Business Analysts, highlight any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
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 don’t miss out on any important updates. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Familiarise yourself with its features, especially around data pipelines and ETL processes. Being able to discuss specific projects or experiences where you've used Databricks will show that you're not just familiar with the tool, but that you can leverage it effectively.
✨Showcase Your Python Skills
Since strong proficiency in Python is a must-have, be prepared to discuss your experience with it in detail. Bring examples of how you've used Python for data engineering tasks, and if possible, be ready to solve a coding challenge during the interview. This will demonstrate your hands-on skills and problem-solving abilities.
✨Collaborate Like a Pro
This role involves working closely with Data Architects and Business Analysts, so highlight your teamwork skills. Share examples of past collaborations where you successfully worked with cross-functional teams. Emphasising your ability to communicate complex technical concepts to non-technical stakeholders will set you apart.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in previous roles related to data engineering and how you overcame them. Practising these scenarios will help you articulate your thought process clearly during the interview.
