At a Glance
- Tasks: Build data pipelines and work with streaming technologies like Kafka and Flink.
- Company: JD ROSS, a forward-thinking tech company in Newcastle.
- Benefits: Potential for permanent position, flexible working, and cloud tech exposure.
- Other info: Opportunity for SC Clearance and up to 3 days remote work.
- Why this job: Join a dynamic team and enhance your coding skills while making an impact.
- Qualifications: Strong coding skills in Java or Python and experience with streaming technologies.
The predicted salary is between 45000 - 55000 £ per year.
JD ROSS is seeking a Data Engineer (Streaming) in Newcastle upon Tyne. The role involves strong coding skills in Java or Python, and experience with Kafka, Flink, or Spark is crucial.
The successful candidate will understand stream processing, build data pipelines, and work with cloud technologies like AWS, Azure, or GCP. This is a 12-month FTC, likely to transition into a permanent position.
Candidates must have SC Clearance and can work up to 3 days per week in the office.
Streaming Data Engineer (Kafka/Flink) - 12m FTC, Newcastle in Newcastle upon Tyne employer: JD ROSS
JD ROSS is an exceptional employer, offering a dynamic work environment in the heart of Newcastle upon Tyne. With a strong focus on employee development and a culture that encourages innovation, team collaboration, and flexibility, we provide our Data Engineers with the tools and support needed to thrive. Enjoy the benefits of working in a vibrant city, with opportunities for career progression and the chance to be part of exciting projects in cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Streaming Data Engineer (Kafka/Flink) - 12m FTC, Newcastle in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Kafka or Flink. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got projects or contributions related to streaming data, make sure to highlight them in conversations. We love seeing real-world applications of your coding skills in Java or Python.
✨Tip Number 3
Prepare for technical interviews by brushing up on stream processing concepts. We recommend practising coding challenges that focus on data pipelines and cloud technologies like AWS or Azure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates ready to dive into the world of streaming data.
We think you need these skills to ace Streaming Data Engineer (Kafka/Flink) - 12m FTC, Newcastle in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Coding Skills:Make sure to highlight your coding prowess in Java or Python. We want to see examples of your work, so don’t hold back on showcasing any relevant projects or experiences that demonstrate your skills!
Talk About Your Streaming Experience:Since this role is all about streaming data, let us know about your experience with Kafka, Flink, or Spark. Share specific instances where you’ve built data pipelines or worked on stream processing to really make your application stand out.
Cloud Knowledge is Key:We’re keen on candidates who are familiar with cloud technologies like AWS, Azure, or GCP. Be sure to mention any relevant certifications or projects that involved these platforms to show us you’re the right fit for the job!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at JD ROSS
✨Know Your Tech Stack
Make sure you brush up on your coding skills in Java or Python, as well as your knowledge of Kafka, Flink, and Spark. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of stream processing.
✨Demonstrate Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach building data pipelines or optimising streaming processes. Practising common coding problems can help you articulate your thought process clearly.
✨Familiarise Yourself with Cloud Technologies
Since the role involves working with cloud platforms like AWS, Azure, or GCP, make sure you understand their core services and how they relate to data engineering. Being able to discuss your experience with these platforms will give you an edge.
✨Understand SC Clearance Requirements
As candidates must have SC Clearance, be prepared to discuss your eligibility and any relevant background checks. Showing that you understand the importance of security in data engineering will demonstrate your professionalism and readiness for the role.
