Overview

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Responsibilities

• Purpose of the role
• To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.
• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Qualifications

• Hands-on Senior DevOps Engineer to join the EDP Analytics team. The role focuses on building and supporting secure, automated, and resilient delivery platforms for the EDP Analytics Portal and associated Enterprise Data Platform services.
• Design and maintain GitLab CI/CD pipelines for application and platform deployment.
• Automate build, testing, security scanning, deployment, validation, and rollback processes.
• Develop operational automation using Python, Shell Scripting, Ansible, and infrastructure-as-code practices.
• Build, manage, and securely promote Docker and OCI container images across environments.
• Deploy and support applications on OpenShift, Kubernetes, and AWS platforms.
• Develop and maintain Helm charts, Kubernetes manifests, and environment configurations.
• Implement monitoring, logging, alerting, health checks, and operational dashboards.
• Support releases, production incidents, root cause analysis, vulnerability remediation, and service recovery.
• Manage application configuration, certificates, secrets, service accounts, and access controls securely.
• Ensure solutions meet Barclays standards for Security, Resilience, Change Management, and Operational Risk.
• Collaborate with developers, architects, product owners, and infrastructure teams to improve platform reliability and delivery.
• Strong Linux administration and troubleshooting skills. Experience with AWS services and cloud-native deployment models. Experience with monitoring and logging tools such as Elastic Stack, Prometheus, or Grafana. Good understanding of application performance, capacity management, resilience, backup, and recovery. Experience troubleshooting complex application, infrastructure, network, and platform issues.
• Experience working in Agile/Scrum delivery environments.
• Strong understanding of SDLC, DevSecOps, release management, and production support.

Nice to have

• Strong experience with Git, GitLab, and GitLab CI/CD pipeline development, Proficiency in Python and Shell Scripting. Hands-on experience with Ansible and infrastructure-as-code tools such as Terraform. Experience with release automation, artifact management, and controlled promotion across environments. Knowledge of SonarQube, Veracode, vulnerability scanning, and DevSecOps practices.
• Strong hands-on experience with Docker, Kubernetes, and OpenShift.