Remote Java/Spark Engineer - Scale Distributed Data in London

Remote Java/Spark Engineer - Scale Distributed Data in London

London Full-Time 60000 - 80000 € / year (est.) Home office (partial)
BairesDev

At a Glance

  • Tasks: Develop Java components for distributed data processing and optimise workloads with Spark.
  • Company: BairesDev, a supportive multicultural tech company in Greater London.
  • Benefits: Excellent compensation, remote work flexibility, and career growth opportunities.
  • Other info: Perfect for those looking to grow in a collaborative environment.
  • Why this job: Join a dynamic team and work on cutting-edge distributed systems.
  • Qualifications: 5+ years IT experience, 3+ years with Java, and hands-on with Kubernetes.

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

BairesDev is seeking a Software Engineer (Java/Spark) in Greater London, UK. The position involves developing Java-based components for distributed data processing and optimizing workloads using Spark.

Candidates should have:

  • Over 5 years of IT experience
  • 3 years with Java
  • Hands-on experience with distributed systems and Kubernetes

The role offers excellent compensation, remote work flexibility, and a supportive multicultural environment for career growth.

Remote Java/Spark Engineer - Scale Distributed Data in London employer: BairesDev

BairesDev is an exceptional employer that champions innovation and collaboration in the tech industry. With a strong focus on employee growth, we offer competitive compensation, remote work flexibility, and a vibrant multicultural environment that fosters creativity and professional development. Join us in Greater London to be part of a dynamic team where your contributions are valued and your career can thrive.

BairesDev

Contact Detail:

BairesDev Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Java/Spark Engineer - Scale Distributed Data in London

Tip Number 1

Network like a pro! Reach out to your connections in the tech world, especially those who work with Java or Spark. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Create a GitHub repository showcasing your Java and Spark projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for technical interviews by brushing up on distributed systems and Kubernetes. Practice coding challenges and system design questions to boost your confidence and impress the interviewers.

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 and eager to join our team.

We think you need these skills to ace Remote Java/Spark Engineer - Scale Distributed Data in London

Java
Spark
Distributed Data Processing
Kubernetes
IT Experience
Workload Optimisation
Software Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Java and Spark specifically. 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 passionate about distributed data processing and how your background makes you a perfect fit for our team at BairesDev.

Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with distributed systems and Kubernetes. We love seeing candidates who can demonstrate their technical prowess, so include any relevant tools or technologies you've worked with.

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 BairesDev

Know Your Java Inside Out

Make sure you brush up on your Java skills before the interview. Be prepared to discuss your experience with Java-based components and how you've used them in distributed data processing. Having specific examples ready will show that you really know your stuff.

Get Familiar with Spark

Since this role involves optimising workloads using Spark, it’s crucial to understand its core concepts. Review how Spark works, its architecture, and be ready to explain how you've implemented it in past projects. This will demonstrate your hands-on experience and technical expertise.

Showcase Your Distributed Systems Knowledge

BairesDev is looking for someone with experience in distributed systems. Prepare to discuss any relevant projects where you’ve worked with these systems, particularly focusing on challenges you faced and how you overcame them. This will highlight your problem-solving skills.

Emphasise Your Kubernetes Experience

As Kubernetes is a key part of the role, make sure you can talk about your experience with it. Be ready to discuss how you've used Kubernetes for orchestration in your previous roles, and any specific challenges you tackled. This will show that you're not just familiar with the technology, but that you can effectively use it in real-world scenarios.