Data Ops Engineer

Role Overview

• The Data Ops Engineer is responsible for designing, implementing, and maintaining the infrastructure and integration pipelines that support secure, scalable, and high-performing data delivery at AP+.
• This role ensures seamless deployment and operation of systems across physical, virtual, and cloud environments.
• It is hands-on in automating processes, managing configurations, and using AI-assisted development and monitoring tools to improve efficiency, code quality, and operational reliability.
• Define and manage requirements across the delivery lifecycle, ensuring alignment, traceability and stakeholder engagement.
• Design, build, test and maintain secure, scalable data and infrastructure solutions using standardised engineering practices.
• Plan and execute system integration activities, including build configuration, testing and issue resolution.
• Provision, configure and optimise infrastructure across on-premise, virtual and cloud environments.
• Automate operational and system administration tasks to improve efficiency, reliability and scalability.
• Maintain secure and auditable configuration management processes and configuration items (CIs).
• Support release and deployment activities to ensure stable, compliant and efficient delivery outcomes.
• Participate in testing and quality assurance activities to validate deployment readiness and resolve issues.
• Build and maintain effective stakeholder relationships through collaboration, communication and issue management.
• Drive continuous improvement of DevOps tools, processes and delivery practices.
• Leverage AI-driven tools and automation techniques to enhance DevOps operations and engineering outcomes.

Requirements

• Bachelor’s degree in Engineering, Computer Science or a related discipline, or equivalent practical experience.
• Industry certifications across cloud platforms, DevOps tooling or scripting technologies are advantageous but not essential.
• 3+ years’ experience in a DevOps, DataOps or related engineering role.
• Experience within payments or financial services environments is highly regarded.
• Exposure to AI-assisted development, automation or operational monitoring tools is advantageous.
• Strong working knowledge of CI/CD pipelines, infrastructure-as-code and automation practices.
• Experience with tools and technologies such as Terraform, Ansible, Python, Bash and monitoring platforms.
• Familiarity with containerisation technologies and cloud environments including AWS, Azure or GCP.
• Understanding of AI-enabled engineering and operational tools, including automated testing, intelligent monitoring and code-assist technologies, with awareness of responsible and secure implementation practices.

Tech Stack

• Ansible
• AWS
• Azure
• Cloud
• Google Cloud Platform
• Python
• Terraform