DevOps Engineer

About the Role

The DataOps Engineer will play a critical role in ensuring the reliability, security and operational excellence of Collinson's modern data platform. This involves automating platform operations, maintaining cloud infrastructure, supporting CI/CD pipelines and ensuring the platform remains secure, scalable and highly available.

As a key member of the Data & Analytics team, you will work closely with Data Engineers, Security, Infrastructure and Product teams to support enterprise-wide data initiatives through automation, observability and platform standardisation.

Key Responsibilities

• Manage and maintain Snowflake, Kafka, AWS, MongoDB and supporting data platform infrastructure.
• Build and maintain CI/CD pipelines and deployment automation.
• Develop and maintain Infrastructure as Code using Terraform.
• Manage AWS networking including VPCs, VPC Peering, PrivateLink and secure private networking.
• Support Confluent Kafka platform operations and event-driven data integration patterns.
• Perform platform patching, upgrades, and lifecycle management.
• Ensure timely remediation of security vulnerabilities and compliance with security standards.

Skills & Qualifications

• DataOps & Platform Engineering
• AWS fundamentals
• Snowflake Administration
• MongoDB
• Confluent Kafka Platform
• Python
• SQL
• Git
• CI/CD pipelines
• Infrastructure as Code (Terraform)
• Data Observability and Monitoring (Datadog)
• Incident Management
• Production Support
• Security Patching
• Vulnerability Management
• Performance optimisation
• Cost optimisation
• AWS Networking
• VPC
• VPC Peering
• AWS PrivateLink
• Route 53
• Security Groups
• IAM
• Private networking
• Central Network integration

What You'll Learn

In this role, you will gain hands-on experience with cloud infrastructure, data platforms, and automation tools. You will learn to develop and maintain Infrastructure as Code, manage CI/CD pipelines, and ensure platform reliability and security.

You will also have the opportunity to work with a team of experienced professionals and contribute to the development of enterprise-wide data initiatives.

Resume Tip

When applying for this role, make sure to highlight your experience with cloud infrastructure, data platforms, and automation tools. Emphasize your ability to work with a team and contribute to the development of enterprise-wide data initiatives.

Also, be sure to include specific examples of your experience with tools such as Terraform, Datadog, and Confluent Kafka.