Observability Data Engineer: Kafka, Splunk, OpenTelemetry
Observability Data Engineer: Kafka, Splunk, OpenTelemetry

Observability Data Engineer: Kafka, Splunk, OpenTelemetry

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Go Premium
W

At a Glance

  • Tasks: Design and maintain data pipelines for OpenShift telemetry and enhance observability capabilities.
  • Company: Leading tech consulting firm in the UK with a focus on innovation.
  • Benefits: Dynamic work environment, competitive salary, and opportunities for professional growth.
  • Why this job: Join a team that values proactive monitoring and automated insights in tech.
  • Qualifications: Experience with Kafka and proficiency in OpenShift telemetry integration into Splunk.
  • Other info: Collaborative culture with a focus on data quality and compliance.

The predicted salary is between 36000 - 60000 £ per year.

A leading tech consulting firm in the UK is seeking a Data Engineer. You will design, implement, and maintain data pipelines to handle OpenShift telemetry. The role involves collaborating with various teams to ensure data quality and compliance while enhancing observability capabilities using LLMs.

The ideal candidate will have hands-on experience with Kafka and proficiency in OpenShift telemetry integration into Splunk. This position offers a dynamic work environment focused on proactive monitoring and automated insights.

Observability Data Engineer: Kafka, Splunk, OpenTelemetry employer: Whitehall Resources

As a leading tech consulting firm in the UK, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values proactive problem-solving. Join us to be part of a team that not only enhances observability capabilities but also prioritises your professional development and well-being.
W

Contact Detail:

Whitehall Resources Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Observability Data Engineer: Kafka, Splunk, OpenTelemetry

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Kafka and OpenTelemetry. This will give potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss how you've tackled data quality issues or enhanced observability in past roles.

✨Tip Number 4

Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!

We think you need these skills to ace Observability Data Engineer: Kafka, Splunk, OpenTelemetry

Data Pipeline Design
Kafka
OpenShift
Telemetry Integration
Splunk
Observability
Collaboration
Data Quality Assurance
Compliance
Proactive Monitoring
Automated Insights
LLMs (Large Language Models)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Kafka, Splunk, and OpenTelemetry. 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 excited about the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position.

Showcase Collaboration Skills: Since this role involves working with various teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve contributed to successful outcomes in the past.

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 Whitehall Resources

✨Know Your Tech Stack

Make sure you’re well-versed in Kafka, Splunk, and OpenTelemetry. Brush up on how these tools work together, especially in the context of data pipelines and telemetry integration. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly capable.

✨Showcase Collaboration Skills

Since the role involves working with various teams, be prepared to share examples of past collaborations. Think about times when you ensured data quality or compliance while working with others. Highlighting your teamwork skills will demonstrate that you can thrive in a dynamic environment.

✨Prepare for Scenario Questions

Expect questions that ask how you would handle specific challenges related to observability and data quality. Practice articulating your thought process and problem-solving strategies. This will help you convey your proactive approach to monitoring and automated insights.

✨Ask Insightful Questions

At the end of the interview, don’t shy away from asking questions about the company’s current projects or future goals regarding observability. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.

Observability Data Engineer: Kafka, Splunk, OpenTelemetry
Whitehall Resources
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

W
  • Observability Data Engineer: Kafka, Splunk, OpenTelemetry

    Full-Time
    36000 - 60000 £ / year (est.)
  • W

    Whitehall Resources

    50-100
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>