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- Tasks: Build scalable data processing applications using cutting-edge technologies like Kafka and Flink.
- Company: Leading fintech company in Greater London with a focus on innovation.
- Benefits: Hybrid work environment, growth opportunities, and competitive salary.
- Why this job: Join a dynamic team and lead engineering initiatives in the exciting world of fintech.
- Qualifications: Strong programming skills and experience with AWS, SQL, and Kubernetes.
The predicted salary is between 54000 - 84000 £ per year.
A leading fintech company in Greater London seeks a Staff Data Platform Engineer to build scalable data processing applications. The role includes working with technologies like Kafka and Flink, leading engineering initiatives, and mentoring teams.
Candidates should have strong programming skills and experience with AWS, SQL, and Kubernetes. This position offers growth opportunities and a hybrid work environment.
Staff Data Platform Engineer - Streaming & AI in London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Platform Engineer - Streaming & AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with data platforms. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Kafka, Flink, and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Kubernetes knowledge. Practice coding challenges and be ready to discuss your past experiences leading engineering initiatives.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Staff Data Platform Engineer - Streaming & AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with technologies like Kafka, Flink, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Staff Data Platform Engineer position and how you can contribute to our team. Let us know about your leadership experience and mentoring skills.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your work with data processing applications.
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 during the process!
How to prepare for a job interview at Checkout Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Kafka, Flink, AWS, SQL, and Kubernetes. Brush up on your programming skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Leadership Experience
Since this role involves leading engineering initiatives and mentoring teams, prepare examples of when you've taken charge or guided others. Think about specific challenges you faced and how you overcame them while supporting your team.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when tackling data processing challenges, especially in a streaming context. This will demonstrate your analytical abilities and technical expertise.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s data strategy or team dynamics. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
