Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise data pipelines using Databricks and Python.
- Company: Leading financial services firm in the UK with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for career growth.
- Why this job: Contribute to significant data projects and collaborate with top professionals.
- Qualifications: Strong proficiency in Python and experience with Spark required.
- Other info: Work alongside Data Architects and Business Analysts in a collaborative setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services firm in the UK is looking for a skilled Data Engineer to design and optimize data pipelines using Databricks and Python. The role involves collaborating with Data Architects and Business Analysts to develop data models and ensure compliance with governance standards. Strong proficiency in Python and experience with Spark are essential. This position offers an opportunity to work in a dynamic environment and contribute to significant data projects.
VP, Security Data Engineering & Databricks Pipelines in Bournemouth employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Security Data Engineering & Databricks Pipelines in Bournemouth
✨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! If you've got a portfolio or GitHub with projects showcasing your Python and Spark expertise, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those technical interviews! Brush up on data engineering concepts, especially around Databricks and data governance. Practising common interview questions can help you feel more confident when it’s showtime.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over others.
We think you need these skills to ace VP, Security Data Engineering & Databricks Pipelines in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks 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 passionate about data engineering and how you can contribute to our team. Let us know what excites you about working in a dynamic environment.
Showcase Collaboration Skills: Since this role involves working closely with Data Architects and Business Analysts, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love teamwork!
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. Don’t miss out!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Spark skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand Data Governance
Since compliance with governance standards is key for this role, do your homework on data governance principles. Be prepared to share examples of how you've ensured data quality and compliance in past projects.
✨Collaborate Like a Pro
This position involves working closely with Data Architects and Business Analysts. Think of examples that showcase your teamwork skills and how you've successfully collaborated on data models or pipeline designs in the past.
✨Show Your Passion for Data
Let your enthusiasm for data engineering shine through! Talk about why you love working with data, any personal projects you've undertaken, or how you stay updated with industry trends. This will help you stand out as a candidate who truly cares about the field.
