At a Glance
- Tasks: Build and optimise real-time data pipelines using cutting-edge technologies.
- Company: Join a forward-thinking team in Newcastle with a focus on innovation.
- Benefits: Flexible working, competitive pay, and opportunities for professional growth.
- Other info: Work in a dynamic environment with potential for career advancement.
- Why this job: Make an impact in data engineering while working with the latest tech.
- Qualifications: Strong coding skills in Java or Python and experience with streaming technologies.
The predicted salary is between 50000 - 60000 £ per year.
Requirements
- Strong coding in Java (preferred) or Python
- Experience with Kafka, Flink, or Spark (Flink/Kafka ideal)
- Solid understanding of stream processing (event time, state, backpressure)
- Experience building ETL/ELT or real-time data pipelines
- Knowledge of microservices and distributed systems
Tech
- Up to 3 days per week in Newcastle
- Pay dependent on experience
- SC Clearance Essential
Data Engineer | 12 month FTC | Newcastle | SC Clearance Essential employer: Opus Recruitment Solutions
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in Newcastle. With opportunities for professional growth and development, you will be part of a team that embraces cutting-edge technology while enjoying the flexibility of working up to three days a week in a vibrant city. Our commitment to employee well-being and career advancement makes us an exceptional employer for those seeking meaningful and rewarding work.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | 12 month FTC | Newcastle | SC Clearance Essential
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with streaming technologies like Kafka or Flink. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've built any cool data pipelines or worked on microservices, make sure to discuss these in interviews. Real-world examples can really set you apart from the competition.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Java or Python. Practice common algorithms and data structures, and don't forget to review stream processing concepts – they might pop up during your chat!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a chance to showcase your enthusiasm for the role and the company right from the start.
We think you need these skills to ace Data Engineer | 12 month FTC | Newcastle | SC Clearance Essential
Some tips for your application 🫡
Show Off Your Coding Skills:Make sure to highlight your coding experience in Java or Python. We want to see how you've used these languages in real projects, especially with tools like Kafka, Flink, or Spark.
Demonstrate Your Stream Processing Knowledge:When writing your application, don’t forget to mention your understanding of stream processing concepts like event time and backpressure. This is key for us as a Data Engineer!
Talk About Your ETL/ELT Experience:If you've built any ETL or ELT pipelines, share those experiences! We love to see how you’ve tackled real-time data challenges and what technologies you used.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Stack
Make sure you brush up on your Java or Python skills, as well as your experience with Kafka, Flink, or Spark. Be ready to discuss specific projects where you've implemented these technologies, and how they relate to stream processing.
✨Demonstrate Your Understanding of Stream Processing
Prepare to explain concepts like event time, state management, and backpressure in a clear and concise manner. Use examples from your past work to illustrate your understanding and how you've tackled challenges in real-time data pipelines.
✨Showcase Your ETL/ELT Experience
Be ready to talk about your experience building ETL or ELT processes. Highlight any real-time data pipelines you've developed and the impact they had on the business. This will show your practical knowledge and problem-solving skills.
✨Familiarise Yourself with Microservices
Since knowledge of microservices and distributed systems is crucial, prepare to discuss how you've worked with these architectures. Think about how you can convey your experience in a way that demonstrates your ability to contribute to their team effectively.
