At a Glance
- Tasks: Lead the development of Payment Lifecycle Flink jobs using Java or Python.
- Company: 0026 Checkout Technology Ltd, a leader in payment technology.
- Benefits: Flexible hybrid working model and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Join a cutting-edge team and make an impact in stream-processing technology.
- Qualifications: Experience in data engineering, Flink, and familiarity with modern DevOps tools.
The predicted salary is between 50000 - 70000 £ per year.
Checkout Technology Ltd is looking for a data/software engineer to lead on Payment Lifecycle Flink jobs, migrating business logic into stream-processing jobs using Java or Python. The role involves ensuring pipeline health and utilizing Apache Iceberg for state management.
The ideal candidate has proven experience in data engineering, with hands-on experience in Flink and a familiarity with a modern DevOps stack. A hybrid working model is also offered for flexibility.
Data Engineer - Flink Pipelines & DevOps (Hybrid) employer: 0026 Checkout Technology Ltd
At 0026 Checkout Technology Ltd, we pride ourselves on being an excellent employer by fostering a dynamic work culture that encourages innovation and collaboration. Our hybrid working model offers flexibility, allowing you to balance your professional and personal life while working on cutting-edge technologies in data engineering. We are committed to employee growth, providing ample opportunities for skill development and career advancement in a supportive environment.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Flink Pipelines & DevOps (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Flink or in DevOps. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Flink projects or any cool data engineering work, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Java or Python skills. Practice coding challenges related to stream processing and pipeline health to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer - Flink Pipelines & DevOps (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Flink and any relevant DevOps tools. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on experience!
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 leading Payment Lifecycle Flink jobs. Let us know what excites you about this role!
Showcase Your Projects:If you've worked on any projects involving stream-processing jobs or Apache Iceberg, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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 from our team!
How to prepare for a job interview at 0026 Checkout Technology Ltd
✨Know Your Flink Inside Out
Make sure you brush up on your Apache Flink knowledge. Be ready to discuss your past experiences with Flink pipelines, and think of specific examples where you've successfully implemented stream-processing jobs using Java or Python.
✨Showcase Your DevOps Skills
Since the role involves a modern DevOps stack, be prepared to talk about your experience with CI/CD tools, containerisation, and orchestration. Highlight any projects where you've integrated these practices into your data engineering work.
✨Understand Payment Lifecycle
Familiarise yourself with the payment lifecycle and how data engineering plays a role in it. Being able to articulate how your work impacts payment processes will show that you understand the business context of your technical skills.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's use of Apache Iceberg for state management and their approach to pipeline health. This not only shows your interest but also helps you gauge if the company is the right fit for you.
