Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable cloud infrastructure using Azure and Kafka.
- Company: Fast-growing SaaS organisation focused on data-driven insights.
- Benefits: Competitive salary of £75k plus a 10% bonus, remote work flexibility.
- Other info: Opportunity to work with cutting-edge technologies and improve data flow.
- Why this job: Join a dynamic team to enhance platform performance and make an impact.
- Qualifications: Experience in Platform Engineering, DevOps, or SRE with strong scripting skills.
The predicted salary is between 75000 - 75000 £ per year.
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.
Azure Platform Engineer (Remote) employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Platform Engineer (Remote)
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Azure and Kafka. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to platform engineering and DevOps. Practice explaining your thought process clearly; it’s all about showing how you tackle problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Azure Platform Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure Platform Engineer role. Highlight your experience with Azure, Kafka, and any relevant data platforms. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or built cloud infrastructure or data pipelines. We love seeing real examples of your work, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to shine in front of our hiring team!
How to prepare for a job interview at Digital Waffle
✨Know Your Tech Inside Out
Make sure you brush up on your Azure and Kafka knowledge. Be ready to discuss how you've used these technologies in past projects, and think of specific examples where you improved system reliability or performance.
✨Showcase Your Scripting Skills
Since strong scripting skills are a must, prepare to demonstrate your proficiency in Python, Bash, or PowerShell. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to feel confident.
✨Understand Data Pipelines
Familiarise yourself with data pipelines, ETL/ELT processes, and how they fit into the bigger picture of cloud infrastructure. Be ready to explain how you've built or maintained data pipelines in previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's platform and their approach to DevOps and data engineering. This shows your genuine interest in the role and helps you assess if it's the right fit for you.