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- 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, with remote work flexibility.
- Other info: Opportunity to work with cutting-edge technologies like Azure and Kafka.
- Why this job: Join a dynamic team to shape the future of data and cloud technology.
- 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.
Platform / DevOps Engineer (Azure) employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform / DevOps Engineer (Azure)
✨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 GitHub repository showcasing your projects, especially those related to Azure and Kafka. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps and Platform Engineering questions. Practice explaining your past projects and how you've tackled challenges in cloud infrastructure and data pipelines.
✨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 in the hiring process.
We think you need these skills to ace Platform / DevOps Engineer (Azure)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the 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 that demonstrate your hands-on experience in DevOps and platform engineering.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're excited about this role and how you can contribute to our team. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Digital Waffle
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Kafka, and any relevant data platforms like Databricks. Brush up on your scripting skills in Python, Bash, or PowerShell, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles related to platform engineering or DevOps. Think of examples where you improved deployment processes or enhanced system reliability, and be ready to explain your thought process.
✨Understand the Company’s Vision
Research the SaaS organisation and understand their mission around data-driven insights. Be prepared to discuss how your skills can contribute to their goals, especially in building scalable and secure systems.
✨Ask Insightful Questions
Prepare thoughtful questions about their current cloud infrastructure and data workflows. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.