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For Companies At a Glance
- Tasks: Manage and enhance a live cloud data platform using Snowflake and AWS.
- Company: PE-backed media & data tech firm with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and hands-on project ownership.
- Why this job: Join a revenue-generating platform and make a real impact in cloud engineering.
- Qualifications: Experience as a Senior Cloud or Data Engineer in cloud-native environments.
- Other info: Opportunity to shape processes and influence early-stage team dynamics.
The predicted salary is between 63000 - 84000 £ per year.
This role is for a Senior Cloud Engineer focused on a Core Data Platform in London (Hybrid). It offers a 12‑month FTC at £75,000 – £95,000. Key skills include Snowflake, AWS, Terraform, and data engineering experience in cloud‑native environments.
Role Overview
PE‑backed media & data technology business building an in‑house engineering capability around a live, revenue‑critical data platform. This senior, hands‑on role focuses on running, improving and scaling a complex cloud data environment as ownership moves in‑house.
Responsibilities
- Production Snowflake data warehouse
- Data pipeline reliability and correctness
- AWS infrastructure, cost and performance
- Clean rooms and data collaboration workflows
- CI/CD, monitoring and operational standards
- Clear documentation and runbooks
Technical Stack
- Snowflake
- AWS (Lambda, S3, Glue, RDS, IAM, VPC)
- Terraform
- GitLab
- AWS‑native monitoring and security tools
Qualifications
- Senior Cloud or Data Engineer with experience in cloud‑native environments
- Operated Snowflake at scale in production systems
- Strong focus on reliability, performance and cost control
- Comfortable in evolving systems and environments
- Enjoys hands‑on responsibility over pure design work
- Early‑stage team influencer, shaping processes and practices
Why It’s Worth a Look
This is a real platform already generating revenue. The problems are practical, not theoretical. You’ll have clear ownership, direct influence, and the opportunity to be close to the system and decisions, building a proper in‑house engineering function around a live data product.
Cloud Engineer employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Cloud Engineers. 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 projects, especially those involving Snowflake, AWS, and Terraform. 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 technical questions related to cloud environments. Practice explaining your past experiences with data pipelines and CI/CD processes to demonstrate your hands-on expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Cloud Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AWS, and Terraform. We want to see how your skills align with the role, so don’t be shy about showcasing your cloud-native experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about cloud engineering and how you can contribute to our data platform. Keep it engaging and relevant to the role.
Showcase Your Hands-On Experience: We love candidates who have practical experience! Share specific examples of how you've improved or scaled cloud environments in your previous roles. This will help us see your hands-on approach.
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 this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Snowflake and AWS. Brush up on your Terraform skills too, as they’ll likely want to see how you can manage infrastructure as code.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in cloud-native environments. Think about how you ensured data pipeline reliability or optimised costs in AWS. Real-world examples will demonstrate your hands-on experience and ability to tackle practical problems.
✨Understand the Business Context
Since this role is with a media and data technology business, it’s crucial to understand how cloud engineering impacts revenue generation. Be ready to discuss how your work can influence the company’s bottom line and improve their data platform.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the current challenges they face with their data platform, and how they envision the engineering function evolving. This shows your genuine interest and helps you assess if the role is the right fit for you.
