At a Glance
- Tasks: Lead cloud architecture and deploy cutting-edge solutions in AWS and Azure environments.
- Company: Join a leading consulting firm in strategic data science and AI.
- Benefits: Earn around £65,000 plus bonuses and enjoy a fantastic pension.
- Other info: 100% remote work with a focus on career growth and well-being.
- Why this job: Shape innovative projects and influence the future of cloud technology.
- Qualifications: Experience in cloud engineering, CI/CD, and strong scripting skills required.
The predicted salary is between 65000 - 65000 € per year.
This is a fantastic opportunity for a Senior Cloud Engineer with this specialist consulting firm. They are one of the longest-established players in strategic data science centred on leading-edge AI, supplying to major corporates and academics across the world. Due to significant sustained growth over the past few years, they are looking to grow their technical team further. This is a senior technical role, to lead the deployment and architecture of services in cloud environments, collaborating with technical leadership and delivery teams.
It is ideal for someone who is motivated by shaping proofs of concept into practical, production-ready solutions. It is strongly collaborative and customer-facing, and a genuine chance to play an active and influential role in the overall direction and development of the company. Although focussed on cloud infrastructure, the data science context means there is often an overlap with the data engineering side, giving you a wider range of skills.
The role:
- Own the cloud architecture of production solutions across AWS and Azure
- Design, build and manage infrastructure-as-code
- Develop CI/CD pipelines to support data engineering and ML/AI model delivery
- Influence security, cost-efficiency, scalability and standards
- Lead cloud architecture decisions in project scoping and architecture reviews
- Contribute to internal capability building in DevOps, cloud strategy, and tooling
- Deployment of the latest data and AI tools, including LLMs and agentic AI
The Requirements:
- Several years practical experience as a Cloud, DevOps, or Infrastructure Engineer
- Deep hands-on experience with AWS and Azure services
- Infrastructure-as-code tooling (e.g. Terraform)
- CI/CD pipelines and deployment automation (e.g. Azure DevOps)
- Containerisation and orchestration (Docker, Kubernetes)
- Strong scripting and workflow automation skills (especially in Python)
- Version control (Git), testing, and secure deployment practices
- Range of use cases and applications, in particular from the context of SME or consulting
This is a highly professional and people-centric company where your career and well-being are given the highest priority. You will enjoy significant influence and authority with a genuine voice at the highest level. Projects are broad, fast-paced and ever-changing, meaning you will develop skills across a wide spectrum of applications and industries.
In return you will receive an earnings in the region of £65,000 per annum, a bonus plus an excellent pension. The organisation is based in the South East of England however the role can be 100% home-based.
You must have current and permanent eligibility to work in the UK, sadly no visa sponsorship is available.
Senior Cloud/Data Engineer in London employer: Starbuck James Ltd
Starbuck James Ltd is an exceptional employer that prioritises your career growth and well-being, offering a collaborative and people-centric work culture. With the flexibility of a fully remote role based in the South East of England, you will have the opportunity to influence high-level decisions while working on diverse, fast-paced projects that enhance your skills across various applications and industries. In addition to a competitive salary and bonus structure, the company provides an excellent pension plan, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud/Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. 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 portfolio showcasing your cloud architecture projects, CI/CD pipelines, and any cool data engineering solutions you've built. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to cloud services, infrastructure-as-code, and collaboration. We want you to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Starbuck James Ltd. Let's get you that dream job!
We think you need these skills to ace Senior Cloud/Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Cloud/Data Engineer role. Highlight your experience with AWS, Azure, and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of cloud architecture or data engineering projects you've worked on. We love seeing proofs of concept that turned into production-ready solutions, so don’t hold back!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills quickly.
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, we can’t wait to hear from you!
How to prepare for a job interview at Starbuck James Ltd
✨Know Your Cloud Platforms Inside Out
Make sure you’re well-versed in AWS and Azure services. Brush up on the latest features and best practices, especially around infrastructure-as-code and CI/CD pipelines. Being able to discuss specific projects where you've implemented these technologies will really impress your interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, particularly in cloud architecture and deployment. Think of examples where you shaped proofs of concept into production-ready solutions, as this aligns perfectly with what they’re looking for.
✨Demonstrate Collaboration and Leadership
Since this role is highly collaborative, be ready to share experiences where you’ve worked closely with technical teams or led projects. Highlight your ability to influence decisions during project scoping and architecture reviews, as this will show you can thrive in their people-centric environment.
✨Stay Current with Data Science Trends
Given the overlap with data engineering, it’s crucial to be aware of the latest trends in AI and data tools. Mention any relevant experience with LLMs or agentic AI, and express your enthusiasm for contributing to internal capability building in DevOps and cloud strategy.
