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- Tasks: Design and optimise data processing solutions using PySpark on AWS.
- Company: Leading data solutions provider with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and lead the charge in modernising data pipelines.
- Qualifications: 5+ years of PySpark experience and strong data engineering skills.
- Other info: Exciting environment with a focus on cloud-native architectures.
The predicted salary is between 60000 - 80000 £ per year.
A leading data solutions provider is seeking a Lead PySpark Engineer to design, develop, and optimize complex data processing solutions on AWS. This role involves hands-on work with PySpark, modernizing legacy systems, and ensuring production-ready data pipelines.
Ideal candidates will have over 5 years of PySpark experience and a strong background in data engineering within the financial services. This position offers the chance to work in a dynamic environment focused on cloud-native architectures.
Senior PySpark Engineer - Cloud Data Pipelines Lead in London employer: Skillfinder International
Contact Detail:
Skillfinder International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior PySpark Engineer - Cloud Data Pipelines Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with PySpark. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your PySpark projects and any cloud data pipelines you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your PySpark knowledge and AWS skills. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine during those interviews!
✨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 and eager to join our team.
We think you need these skills to ace Senior PySpark Engineer - Cloud Data Pipelines Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PySpark experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your 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 your background in financial services makes you a perfect fit for us. Keep it engaging and personal.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with AWS and cloud-native architectures. We’re looking for someone who can hit the ground running, so highlight any relevant tools and technologies you’ve mastered.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Skillfinder International
✨Know Your PySpark Inside Out
Make sure you brush up on your PySpark skills before the interview. Be ready to discuss your past projects, especially those involving complex data processing solutions. Highlight how you've optimised data pipelines and modernised legacy systems in your previous roles.
✨Understand Cloud Data Pipelines
Since this role focuses on AWS, familiarise yourself with cloud-native architectures and data pipeline best practices. Be prepared to explain how you've implemented these in your work, and think of examples where you've tackled challenges in cloud environments.
✨Showcase Your Financial Services Experience
Given the emphasis on financial services, be ready to discuss your experience in this sector. Share specific examples of how your data engineering skills have contributed to projects in finance, and how you’ve navigated the unique challenges that come with it.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.