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- Tasks: Join a team to build and manage CI/CD pipelines for a Snowflake data platform.
- Company: A leading global commodity trading firm based in London, known for innovation.
- Benefits: Enjoy hybrid work options and the chance to work with cutting-edge technology.
- Why this job: Be part of a dynamic team that impacts real-time trading and analytics.
- Qualifications: 3+ years in DevOps/cloud roles; expertise in AWS, Terraform, Docker, and Kubernetes required.
- Other info: Contract position with a two-stage interview process.
The predicted salary is between 48000 - 72000 £ per year.
A global commodity trading firm in London is hiring a DevOps Engineer (contract) to support a Snowflake-based data platform. You will work with data engineers and cloud architects to deliver scalable, secure cloud infrastructure for real-time trading and analytics.
Key Responsibilities:
- Build & manage CI/CD pipelines for Snowflake data workflows
- Automate AWS infrastructure with Terraform
- Deploy containers via Docker & Kubernetes (EKS)
- Ensure observability, performance & security
- Integrate tooling like dbt, Airflow, and support platform evolution
Requirements:
- 3+ years in DevOps/cloud/SRE roles
- Expert in AWS (EC2, IAM, Lambda, etc.)
- Strong in Terraform, Docker, Kubernetes (EKS)
- Production experience with Snowflake
- Scripting in Python, Bash, or similar
- Strong team collaboration & Agile mindset
Nice to Have:
- Background in commodity trading, finance, or energy
- Experience with data governance, dbt, or Airflow
DevOps Engineer employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer
✨Tip Number 1
Familiarise yourself with Snowflake and its ecosystem. Since this role focuses on a Snowflake-based data platform, having hands-on experience or projects showcasing your skills with Snowflake will make you stand out during the interview.
✨Tip Number 2
Brush up on your CI/CD pipeline knowledge, especially in relation to Snowflake workflows. Be prepared to discuss specific examples of how you've built and managed pipelines in previous roles, as this is a key responsibility for the position.
✨Tip Number 3
Showcase your experience with AWS and Terraform. Be ready to explain how you've automated infrastructure and deployed applications using these tools, as they are crucial for the role and will demonstrate your technical expertise.
✨Tip Number 4
Highlight your collaboration skills and Agile mindset. Since you'll be working closely with data engineers and cloud architects, sharing examples of successful teamwork and Agile practices will help convey that you're a great fit for their culture.
We think you need these skills to ace DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in DevOps, particularly with AWS, Terraform, Docker, and Kubernetes. Use specific examples from your past roles that demonstrate your skills in building CI/CD pipelines and automating infrastructure.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience with Snowflake and any background in commodity trading or finance, as this could set you apart from other candidates.
Showcase Your Technical Skills: When detailing your technical skills, be specific about your proficiency with tools like dbt and Airflow. If you have experience scripting in Python or Bash, make sure to highlight that as well, as it aligns with the job requirements.
Prepare for the Interview: Since the interview process is two stages, prepare by reviewing common DevOps interview questions and scenarios. Be ready to discuss your previous projects and how you approached challenges related to cloud infrastructure and data workflows.
How to prepare for a job interview at twentyAI
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS, Terraform, Docker, and Kubernetes in detail. Highlight specific projects where you've built CI/CD pipelines or automated infrastructure, as this will demonstrate your hands-on expertise.
✨Understand the Snowflake Platform
Familiarise yourself with Snowflake's architecture and features. Be ready to explain how you've used Snowflake in previous roles, particularly in relation to data workflows and analytics, as this is crucial for the position.
✨Emphasise Team Collaboration
Since the role involves working closely with data engineers and cloud architects, share examples of how you've successfully collaborated in a team setting. Discuss your Agile mindset and how it has contributed to project success.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-time situations. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to performance, security, and observability.
