DevOps Engineer - Azure specialist - Remote
DevOps Engineer - Azure specialist - Remote

DevOps Engineer - Azure specialist - Remote

Full-Time 75000 - 75000 £ / year (est.) Home office possible
Digital Waffle

At a Glance

  • Tasks: Design and build cloud infrastructure while improving data flow and platform performance.
  • Company: Fast-growing SaaS organisation focused on modern, data-driven solutions.
  • Benefits: Competitive salary of £75k plus a 10% bonus and remote work flexibility.
  • Other info: Hands-on role with excellent opportunities for career growth.
  • Why this job: Join a dynamic team and make a real impact on innovative data platforms.
  • Qualifications: Experience in Platform Engineering, DevOps, or SRE with strong scripting skills.

The predicted salary is between 75000 - 75000 £ per year.

Role: Azure DevOps Engineer (Kafka)

Location: Remote (UK)

Salary: £75k + 10% Bonus

We’re partnering with a fast-growing SaaS organisation building a modern, data-driven platform that powers better insight into behaviour, performance, and collaboration at scale. They’re scaling their platform capability and are now looking for a Platform Engineer to help design, build, and evolve their cloud and data infrastructure. This is a hands-on role spanning cloud infrastructure, DevOps, and data platform engineering.

You’ll work across Azure cloud infrastructure and data platforms, helping to build scalable, secure systems and improve how data flows across the organisation. You’ll also play a key role in improving deployment processes, system reliability, and overall platform performance, working closely with software and data teams.

  • Support GitHub-based release and deployment workflows
  • Work with Kafka for event-driven streaming and real-time data movement
  • Support and evolve data platforms (Databricks ideal)
  • Build and maintain data pipelines (batch + streaming / ETL / ELT)
  • Improve platform reliability, observability, and performance

Background in Platform Engineering, DevOps, or SRE

Strong scripting skills (Python, Bash, or PowerShell)

Experience with Databricks or modern data platforms

Strong understanding of data pipelines and distributed systems

Lakehouse or large-scale data platform experience

DevOps Engineer - Azure specialist - Remote employer: Digital Waffle

Join a dynamic and innovative SaaS organisation that prioritises employee growth and collaboration in a remote work environment. With a competitive salary and bonus structure, the company fosters a culture of continuous learning and development, empowering you to enhance your skills in cloud infrastructure and data engineering. Enjoy the flexibility of remote work while contributing to cutting-edge projects that drive impactful insights across the organisation.
Digital Waffle

Contact Detail:

Digital Waffle Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land DevOps Engineer - Azure specialist - Remote

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or attend virtual 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 GitHub repository showcasing your projects, especially those related to Azure, Kafka, or data pipelines. This gives potential employers a taste of what you can do beyond your CV.

✨Tip Number 3

Prepare for interviews by brushing up on common DevOps scenarios and challenges. Practice explaining your thought process when solving problems, as this is often more important than the right answer.

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace DevOps Engineer - Azure specialist - Remote

Azure Cloud Infrastructure
DevOps Practices
Data Platform Engineering
Kafka
GitHub-based Release Workflows
Databricks
Data Pipeline Development
ETL/ELT Processes
Platform Reliability Improvement
Observability
Performance Optimisation
Scripting Skills (Python, Bash, PowerShell)
Distributed Systems Understanding
Lakehouse Architecture

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of Azure DevOps Engineer. Highlight your experience with cloud infrastructure, data platforms, and any relevant tools like Kafka or Databricks. We want to see how your skills align with what we're looking for!

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 in Platform Engineering or DevOps makes you a perfect fit. Keep it engaging and personal – we love getting to know our applicants!

Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially with data pipelines and cloud systems.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!

How to prepare for a job interview at Digital Waffle

✨Know Your Azure Inside Out

Make sure you brush up on your Azure knowledge before the interview. Understand the core services, especially those related to DevOps and data platforms. Be ready to discuss how you've used Azure in past projects, particularly in building scalable and secure systems.

✨Show Off Your Scripting Skills

Since strong scripting skills are a must for this role, prepare to demonstrate your proficiency in Python, Bash, or PowerShell. Have examples ready where you've automated processes or improved deployment workflows using these languages.

✨Get Familiar with Kafka and Data Pipelines

As you'll be working with Kafka for event-driven streaming, make sure you understand its architecture and how it integrates with data pipelines. Be prepared to discuss your experience with building and maintaining data pipelines, both batch and streaming.

✨Highlight Your Collaboration Skills

This role involves working closely with software and data teams, so be ready to talk about your experience in cross-functional collaboration. Share specific examples of how you've improved platform reliability and performance through teamwork and communication.

DevOps Engineer - Azure specialist - Remote
Digital Waffle

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