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- Tasks: Design and manage scalable Azure 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: Exciting opportunity for career growth in a collaborative and innovative environment.
- Why this job: Join a dynamic team to shape the future of data platforms and enhance user insights.
- Qualifications: Strong Azure experience and skills in DevOps, CI/CD, and data platforms required.
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.
Key Responsibilities:- Design and manage scalable Azure cloud infrastructure
- Own Infrastructure as Code using Terraform
- Build and maintain CI/CD pipelines using GitHub Actions (essential)
- 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
- Collaborate with engineering teams to improve developer experience
- Strong Azure cloud experience
- Background in Platform Engineering, DevOps, or SRE
- Strong experience with GitHub Actions for CI/CD (essential)
- Kubernetes, Docker, and Terraform experience
- Strong scripting skills (Python, Bash, or PowerShell)
- Experience with Kafka or similar streaming platforms
- Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery)
- Strong understanding of data pipelines and distributed systems
- Focus on automation, scalability, and reliability
- Lakehouse or large-scale data platform experience
- Observability tooling (Datadog, Grafana, Prometheus)
- SaaS / high-growth product experience
- Strong developer experience mindset
Azure DevOps Engineer (Kafka) in Bath employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure DevOps Engineer (Kafka) in Bath
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Azure, Terraform, and Kafka. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common DevOps scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Azure DevOps Engineer (Kafka) in Bath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure DevOps Engineer role. Highlight your experience with Azure, Terraform, and CI/CD pipelines. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've used Kafka, Kubernetes, or any data platforms. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. 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, Terraform, Kubernetes, and Kafka. Brush up on your knowledge of CI/CD pipelines using GitHub Actions, as this is essential for the role. Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to cloud infrastructure and data platforms. Think about how you improved deployment processes or enhanced system reliability. Real-world examples will demonstrate your ability to tackle issues effectively.
✨Understand the Company’s Vision
Research the SaaS organisation and understand their mission and the importance of data-driven insights. Be ready to explain how your skills can contribute to their goals, particularly in building scalable and secure systems. This shows genuine interest and alignment with their objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack they use, and their approach to platform engineering. This not only shows your enthusiasm but also helps you gauge if the company culture and role are a good fit for you.