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- Tasks: Design and deliver cloud-based data pipelines while ensuring system reliability.
- Company: Leading consultancy in the recruitment sector, working with top clients like JP Morgan.
- Benefits: Permanent role with competitive salary and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the financial domain with your expertise.
- Qualifications: 10+ years of experience in Python development and strong communication skills.
- Other info: On-site role in London with a focus on cloud platforms.
The predicted salary is between 54000 - 84000 £ per year.
A leading consultancy in the recruitment sector is looking for a Data Engineer with over 10 years of experience, particularly in Python development within the financial domain. The successful candidate will design and deliver cloud-based data pipelines and ensure system reliability. Strong communication skills and hands-on expertise with cloud platforms are essential. Formal training or certification in data engineering is preferred. This permanent role involves working on-site at JP Morgan in London.
Senior Data Engineer - Cloud Pipelines & Observability in City of London employer: Robert Walters
Contact Detail:
Robert Walters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Cloud Pipelines & Observability in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial sector and let them know you're on the hunt for a Senior Data Engineer role. Sometimes, it's all about who you know, and a friendly nudge can lead to great opportunities.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best cloud-based data pipelines and any projects you've worked on. This will give potential employers a taste of what you can bring to the table, especially in Python development.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on your technical skills and communication abilities. Mock interviews with friends or using online platforms can help you feel more confident when discussing your hands-on expertise.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your experience. Plus, applying directly can sometimes give you an edge over other candidates. So, get clicking!
We think you need these skills to ace Senior Data Engineer - Cloud Pipelines & Observability in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python development and cloud-based data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your financial domain expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior Data Engineer role. We love seeing your personality come through, so feel free to share your passion for data engineering and cloud technologies.
Showcase Your Communication Skills: Since strong communication skills are essential for this role, make sure to demonstrate them in your application. Whether it’s through clear language in your CV or cover letter, we want to see that you can convey complex ideas simply and effectively.
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, it shows us you’re keen on joining our team!
How to prepare for a job interview at Robert Walters
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any cloud platforms you've worked with. Be ready to discuss specific projects where you've designed data pipelines, as well as the challenges you faced and how you overcame them.
✨Showcase Your Communication Skills
Since strong communication is key for this role, practice explaining complex technical concepts in simple terms. Think about how you can convey your ideas clearly and concisely, especially when discussing your experience in the financial domain.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data reliability and pipeline design. Prepare examples from your past work where you had to troubleshoot issues or improve system performance.
✨Highlight Your Continuous Learning
If you have any formal training or certifications in data engineering, make sure to mention them. Also, talk about any recent courses or self-study you've done to stay updated with industry trends, especially in cloud technologies.
