At a Glance
- Tasks: Manage Kafka operations and develop data pipelines using AI and machine learning.
- Company: Join Verifone, a leader in payment technology, in a collaborative team.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for skill enhancement.
- Other info: Dynamic environment with excellent career growth and learning opportunities.
- Why this job: Be at the forefront of tech by migrating Kafka to Kubernetes and working with cutting-edge tools.
- Qualifications: 4+ years of engineering experience with strong Kafka and AWS skills.
The predicted salary is between 60000 - 80000 £ per year.
Verifone is seeking a Data Engineer (Kafka) to join our Platform Engineering team in Ashford, United Kingdom. In this hybrid role, you will manage Kafka operations and work on data pipeline development involving AI and machine learning.
The ideal candidate has 4+ years of engineering experience with a strong background in Kafka and AWS. You will participate in migrating Kafka to Kubernetes, enhancing your skills in a dynamic environment.
Kafka Platform Engineer – Data Pipelines & Cloud Ops in Ashford employer: GoTo Meeting
Verifone is an excellent employer that fosters a collaborative and innovative work culture, particularly in the vibrant setting of Ashford. Employees benefit from a hybrid work model, competitive compensation, and opportunities for professional growth, especially in cutting-edge technologies like AI and machine learning. Joining our Platform Engineering team means being part of a forward-thinking company that values your contributions and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Kafka Platform Engineer – Data Pipelines & Cloud Ops in Ashford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Kafka and AWS. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data pipelines and Kafka. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Kafka and cloud ops knowledge. Practice common interview questions and scenarios that might come up, so you can impress the hiring team.
✨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 about their job search.
We think you need these skills to ace Kafka Platform Engineer – Data Pipelines & Cloud Ops in Ashford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Kafka and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit for our Platform Engineering team.
Showcase Your Technical Skills:Since this role involves managing Kafka operations and data pipeline development, be sure to mention any specific tools or technologies you've worked with. We love seeing hands-on experience, especially with Kubernetes!
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 GoTo Meeting
✨Know Your Kafka Inside Out
Make sure you brush up on your Kafka knowledge before the interview. Be ready to discuss your experience with Kafka operations, data pipelines, and any challenges you've faced. Having specific examples from your past work will show that you really know your stuff.
✨Show Off Your AWS Skills
Since this role involves AWS, be prepared to talk about your experience with it. Think of projects where you've used AWS services in conjunction with Kafka. Highlight how you’ve optimised performance or solved problems using AWS tools.
✨Get Familiar with Kubernetes
As you'll be involved in migrating Kafka to Kubernetes, it’s a good idea to understand the basics of Kubernetes. Even if you haven’t worked directly with it, showing that you’ve done some research or have a basic understanding can set you apart.
✨Prepare for AI and Machine Learning Discussions
Since the role touches on AI and machine learning, be ready to discuss how data pipelines can support these technologies. Think about how you can leverage your engineering skills to enhance data processing for AI applications.
