Senior Real-Time Analytics Engineer

Senior Real-Time Analytics Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Aircall

At a Glance

  • Tasks: Design scalable solutions for real-time data and optimise performance.
  • Company: Leading tech company in Greater London with a focus on innovation.
  • Benefits: Competitive salary, great work-life balance, and comprehensive benefits.
  • Other info: Mentorship opportunities and a supportive work culture.
  • Why this job: Join a dynamic team and make an impact in real-time analytics.
  • Qualifications: Bachelor's degree, 5+ years programming experience, AWS familiarity.

The predicted salary is between 60000 - 80000 £ per year.

A technology company in Greater London is seeking a Senior Data Engineer to manage their analytics and event platform stack. This role involves designing scalable solutions for real-time data, optimizing performance, and mentoring team members.

Candidates should have:

  • A Bachelor's degree
  • At least 5 years of programming experience
  • Familiarity with AWS and data modeling concepts

The position offers competitive benefits and aims for a balanced work-life culture.

Senior Real-Time Analytics Engineer employer: Aircall

As a leading technology company in Greater London, we pride ourselves on fostering a dynamic work environment that champions innovation and collaboration. Our commitment to employee growth is reflected in our mentorship programmes and continuous learning opportunities, while our competitive benefits and emphasis on work-life balance ensure that our team members thrive both professionally and personally.

Aircall

Contact Details:

Aircall Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Real-Time Analytics Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at the company. You never know who might give you a heads-up about an opportunity or refer you directly!

Tip Number 2

Show off your skills! Create a portfolio showcasing your real-time analytics projects or any relevant work you've done. This is your chance to demonstrate your expertise in AWS and data modelling concepts beyond just words on a CV.

Tip Number 3

Prepare for those interviews! Brush up on common technical questions related to data engineering and be ready to discuss how you've optimised performance in past roles. Practice makes perfect, so consider mock interviews with friends or mentors.

Tip Number 4

Apply through our website! We make it easy for you to find the right role that fits your skills and aspirations. Plus, applying directly shows your enthusiasm and commitment to joining our team!

We think you need these skills to ace Senior Real-Time Analytics Engineer

Real-Time Data Processing
Data Engineering
AWS
Data Modelling
Performance Optimisation
Scalable Solutions Design
Mentoring

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with real-time data solutions and AWS. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. We love seeing enthusiasm and personality!

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can design scalable solutions, so share those success stories with us!

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 Aircall

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS and data modelling concepts. Brush up on your programming skills and be ready to discuss how you've used these tools in past projects.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in real-time data analytics and how you overcame them. Use examples that highlight your ability to design scalable solutions and optimise performance, as this will resonate with the interviewers.

Mentorship Matters

Since mentoring is part of the role, think about your experiences in guiding others. Be ready to share how you've supported team members in their growth and how you can contribute to a positive team culture.

Balance is Key

The company values work-life balance, so be prepared to discuss how you manage your time and maintain productivity. Share any strategies you use to ensure a healthy work-life integration, which will show that you align with their culture.