Senior Real-Time Data Engineer - Build Scalable Pipelines
Senior Real-Time Data Engineer - Build Scalable Pipelines

Senior Real-Time Data Engineer - Build Scalable Pipelines

Full-Time 54000 - 84000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain scalable real-time data pipelines using cutting-edge technology.
  • Company: Leading data technology company in Greater London with a focus on innovation.
  • Benefits: Hybrid working, comprehensive bonus scheme, private health care, and training opportunities.
  • Why this job: Join a dynamic team and make an impact in the data engineering field.
  • Qualifications: Experience in data engineering and proficiency in Python or Java.
  • Other info: Great opportunities for career growth and recognition.

The predicted salary is between 54000 - 84000 Β£ per year.

A leading data technology company in Greater London is seeking a Senior Data Engineer to design, develop, and maintain scalable real-time data pipelines. The ideal candidate should have substantial experience in data engineering, cloud platforms like AWS or GCP, and proficiency in programming languages such as Python or Java.

This role offers hybrid working with a comprehensive bonus scheme, private health care, and opportunities for training and recognition.

Senior Real-Time Data Engineer - Build Scalable Pipelines employer: Quantum

As a leading data technology company in Greater London, we pride ourselves on fostering a dynamic work culture that prioritises innovation and collaboration. Our employees enjoy a hybrid working model, a comprehensive bonus scheme, and private health care, alongside ample opportunities for professional development and recognition, making us an excellent employer for those seeking meaningful and rewarding careers in data engineering.
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Contact Detail:

Quantum Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Real-Time Data Engineer - Build Scalable Pipelines

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a position.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable real-time data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud platforms like AWS or GCP, and practice coding challenges in Python or Java to demonstrate your expertise.

✨Tip Number 4

Don't forget to apply through our website! We have loads of exciting opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace Senior Real-Time Data Engineer - Build Scalable Pipelines

Data Engineering
Real-Time Data Pipelines
Cloud Platforms (AWS or GCP)
Python
Java
Scalability
Hybrid Working
Problem-Solving Skills
Collaboration
Data Management

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience in data engineering and any relevant projects you've worked on. We want to see how your skills align with building scalable real-time data pipelines, so don’t hold back!

Showcase Your Tech Skills: When it comes to programming languages like Python or Java, let us know what you’ve done! Include specific examples of how you've used these languages in your previous roles, especially in cloud platforms like AWS or GCP.

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 you can contribute to our team. We love seeing enthusiasm and a good fit for our company culture.

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 Quantum

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of data engineering concepts, especially around real-time data pipelines. Be ready to discuss your experience with cloud platforms like AWS or GCP, and have examples of how you've used Python or Java in your previous projects.

✨Showcase Your Problem-Solving Skills

Prepare to tackle some technical challenges during the interview. Think about past problems you've solved in your work and be ready to explain your thought process. This will demonstrate your ability to think critically and adapt to new situations.

✨Understand the Company Culture

Research the company’s values and culture. Knowing what they stand for can help you tailor your answers to show that you’re a good fit. Plus, it’ll give you a chance to ask insightful questions that show your genuine interest in the role.

✨Prepare for Behavioural Questions

Expect questions about teamwork, leadership, and conflict resolution. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you convey your experiences clearly and effectively.

Senior Real-Time Data Engineer - Build Scalable Pipelines
Quantum

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