DataOps Engineer

We’re seeking a DataOps Engineer to support our Tech Delivery and Infrastructure Operations teams by ensuring the reliability, automation, and performance of our analytics and data platforms.

Requirements

• Manage and support data pipelines, ETL processes, and analytics platforms, ensuring reliability, accuracy, and accessibility
• Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting
• Implement monitoring and observability using Datadog, Grafana, and Prometheus to track system health and performance
• Collaborate with DevOps and Infra teams to integrate data deployments within CI/CD pipelines (Jenkins, Azure DevOps, Git)
• Apply infrastructure-as-code principles (Terraform, Ansible) for provisioning and automation of data environments
• Support incident and request management via ServiceNow, ensuring SLA adherence and root cause analysis
• Work closely with security and compliance teams to maintain data governance and protection standards
• Participate in Agile ceremonies within Scrum/Kanban models to align with cross-functional delivery squads

Benefits

• Competitive salary
• Benefits package