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- Tasks: Design and build cloud infrastructure while improving data flow and deployment processes.
- Company: Fast-growing SaaS organisation focused on data-driven insights.
- 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 enhance platform performance and make a real 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.
Devops Engineer - Azure Deployment employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Devops Engineer - Azure Deployment
✨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 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.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps scenarios and challenges. Practice explaining how you've tackled similar issues in the past, especially around deployment processes and system reliability.
✨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 Deployment
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, DevOps practices, and any relevant data platforms like Databricks. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've worked with Azure, Kafka, or built data pipelines. We love seeing real examples of your work that demonstrate your hands-on experience and problem-solving skills in action.
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 you can contribute to our mission. We appreciate a personal touch that shows us who you are beyond your CV.
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 makes the process smoother for both of us!
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. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you improved deployment processes or system reliability.
✨Understand the Company’s Vision
Research the SaaS organisation and their data-driven platform. Be ready to discuss how your experience aligns with their goals and how you can contribute to building scalable and secure systems that enhance data flow across the organisation.
✨Ask Insightful Questions
Prepare thoughtful questions about their current cloud infrastructure, deployment workflows, and team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.