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- Tasks: Build and maintain event-driven data pipelines for a cutting-edge financial platform.
- Company: Leading financial services company based in London with a focus on innovation.
- Benefits: Flexible working options, generous holiday entitlement, and well-being support.
- Why this job: Join a dynamic team and work on real-time systems that make a difference.
- Qualifications: Strong skills in Python and AWS, with experience in resilient architectures.
The predicted salary is between 60000 - 80000 £ per year.
A leading financial services company in London is seeking a Data Engineer to build and maintain event-driven data pipelines for their Catalyst platform. The ideal candidate will have strong skills in Python and AWS services, with a focus on real-time systems and resilient architectures.
This role offers flexible working options and a benefits package that includes generous holiday entitlement and well-being support.
Real-Time Data Engineer (Python, AWS, Event-Driven) employer: Citywire
Contact Detail:
Citywire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Data Engineer (Python, AWS, Event-Driven)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and AWS projects, especially those related to real-time data systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on event-driven architectures and resilient systems. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨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 are proactive about their job search.
We think you need these skills to ace Real-Time Data Engineer (Python, AWS, Event-Driven)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS, especially in building event-driven systems. We want to see how your skills align 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 passionate about data engineering and how your background makes you a perfect fit for our Catalyst platform. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in real-time data processing or resilient architectures. We love seeing how you think on your feet and come up with innovative solutions!
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 Citywire
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've built event-driven data pipelines, as this will show your practical experience and understanding of real-time systems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to resilient architectures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled those issues effectively.
✨Understand the Company’s Needs
Research the financial services company and their Catalyst platform. Knowing their goals and how your skills can contribute will help you tailor your responses and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their approach to building resilient systems. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.