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- Tasks: Design and develop scalable data pipelines using Databricks for AI solutions.
- Company: Leading global financial services firm in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team making impactful business insights and driving operational excellence.
- Qualifications: Strong Python skills and experience in data pipeline development required.
- Other info: Collaborative environment with a focus on innovation and excellence.
The predicted salary is between 43200 - 72000 £ per year.
A leading global financial services firm in Greater London seeks a Data Engineer to develop scalable data pipelines and support AI solutions. You will design workflows on Databricks and collaborate with architects for high-quality outputs. Ideal candidates have strong Python skills and experience in data pipeline development. This role offers the chance to be part of an impactful team driving business insights and operational excellence.
Senior Data Engineer - Databricks Pipelines & Governance employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Databricks Pipelines & Governance
✨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! Create a portfolio showcasing your data pipelines and any projects you've worked on with Databricks. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding data governance principles. We recommend practising common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer - Databricks Pipelines & Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to our team. Let us know what makes you a great fit for developing scalable data pipelines.
Showcase Your Technical Skills: When filling out your application, be specific about your technical expertise, especially with Databricks. We love seeing concrete examples of how you've used these tools in past projects.
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 with our impactful team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Databricks Inside Out
Make sure you’re well-versed in Databricks and its functionalities. Brush up on how to design workflows and manage data governance within the platform. Being able to discuss specific projects where you've implemented Databricks will show your hands-on experience.
✨Showcase Your Python Proficiency
Since strong Python skills are a must, prepare to discuss your experience with Python in detail. Bring examples of how you've used Python for data pipeline development, and be ready to solve coding challenges or answer technical questions related to Python during the interview.
✨Understand the Business Impact
This role is all about driving business insights and operational excellence. Be prepared to talk about how your work as a Data Engineer can impact the business positively. Think of examples where your data solutions led to significant improvements or insights.
✨Collaborative Mindset
Collaboration is key in this role, so be ready to discuss how you’ve worked with architects and other teams in the past. Highlight your communication skills and any experiences where teamwork led to successful project outcomes. This will demonstrate that you’re not just a tech whiz but also a team player.
