Cloud Platform Engineer
Listed on 2026-06-02
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IT/Tech
Data Engineer, Cloud Computing
Join Barclays as a Cloud Platform Engineer, where you will play a key role in building and maintaining the systems that collect, store, process, and analyse data.
In this position, you will design and support scalable data platforms. Including data pipelines, data warehouses, and data lakes, ensuring that all data is accurate, accessible, and secure.
Working at the heart of our cloud ecosystem, you’ll help enable decision-making across the organisation while contributing to the reliability, performance, and innovation of our technology landscape.
To be successful as a Cloud Platform Engineer, you should have experience with:
Qualifications- AWS (networking/compute/storage), ECS/Kubernetes/Open Shift, CI/CD, IaC (Terraform/Cloud Formation), and building highly available multi-AZ systems
- Databricks (Spark), Python/Spark development, large-scale data pipelines, and workflow orchestration (Airflow)
- SRE/Dev Ops practices, model deployment/monitoring, and considerable security/compliance (IAM, secrets management, PII protection)
- Exposure to data streaming and messaging systems such as Apache Kafka, and experience integrating streaming data pipelines with batch processing systems.
- Familiarity with deploying and managing microservices and web applications (Java backends, React frontends) on container platforms (ECS, Kubernetes).
- Knowledge of relational databases (e.g., Postgre
SQL, Amazon RDS), including basic administration, performance tuning, and data backup/recovery strategies.
You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role will be based in Glasgow.
Purpose of the roleTo 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.
Accountabilities- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehouses 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 scientists to build and deploy machine learning models.
- To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
- Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
- 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 will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
- Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
- Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
- Take ownership for managing risk and strengthening controls in relation to the work done.
- Perform work that is closely related to that of other…
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