At a Glance
- 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.
- Benefits: Enjoy hybrid work options and the chance to work with cutting-edge technology.
- Why this job: Be part of a dynamic team driving real-time trading and analytics in a fast-paced environment.
- Qualifications: 3+ years in DevOps/cloud roles, expert in AWS, Terraform, Docker, and Kubernetes.
- Other info: Opportunity to work on innovative projects in the finance and energy sectors.
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'll 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
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer
✨Tip Number 1
Familiarise yourself with the Snowflake data platform and its features. Understanding how it integrates with AWS and other tools like dbt and Airflow will give you an edge during discussions with the hiring team.
✨Tip Number 2
Brush up on your CI/CD pipeline skills, especially in relation to Snowflake workflows. Being able to discuss your experience in building and managing these pipelines will demonstrate your hands-on expertise.
✨Tip Number 3
Showcase your knowledge of Terraform, Docker, and Kubernetes by preparing examples of past projects where you've successfully automated infrastructure. This practical insight can set you apart from other candidates.
✨Tip Number 4
Highlight your collaborative experiences in Agile environments. Since you'll be working closely with data engineers and cloud architects, demonstrating your teamwork skills will be crucial in the interview process.
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 with AWS, Terraform, Docker, and Kubernetes. Include specific projects or achievements 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 in scripting languages like Python and Bash. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Prepare for the Interview: Since the interview process is two stages, prepare by reviewing common DevOps interview questions. Be ready to discuss your experience with cloud infrastructure, team collaboration, and Agile methodologies, as well as any tools like dbt and Airflow.
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 it in past roles or how you would approach integrating it into a data workflow, 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 questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles, particularly around performance, security, and observability, and be ready to discuss how you overcame them.