Barclays
CloudPlatformEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Cloud Platform Engineer at Barclays. Skills: AWS, ECS/Kubernetes/OpenShift, CI/CD, IaC (Terraform/CloudFormation), Databricks (Spark), Python/Spark development, large-scale data pipelines, workflow orchestration (Airflow), SRE/DevOps practices, security/compliance (IAM, secrets management, PII protection). Build and maintain the systems that collect, store, process, and analyse data. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complet”
What You'll Achieve.
ensure that all data is accurate, accessible, and secure; enable decision-making across the organisation; contributing to the reliability, performance, and innovation of our technology landscape
Industry & Context.
solve problems creatively and effectively
What They're Looking For.
Must Have
AWS (networking/compute/storage), ECS/Kubernetes/OpenShift, CI/CD, IaC (Terraform/CloudFormation), building highly available multi-AZ systems, Databricks (Spark), Python/Spark development, large-scale data pipelines, workflow orchestration (Airflow), SRE/DevOps practices, model deployment/monitoring, considerable security/compliance (IAM, secrets management, PII protection)
Nice to Have
Exposure to data streaming and messaging systems such as Apache Kafka, 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. , PostgreSQL, Amazon RDS), including basic administration, performance tuning, and data backup/recovery strategies
What You'll Do.
Build and maintain the systems that collect
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
design and support scalable data platforms
ensure that all data is accurate
contributing to the reliability
and innovation of our technology landscape
How You'll Work.
Team & Collaboration
Collaborate closely with other functions/ business divisions; Lead a team performing complex tasks; guide team members through structured assignments; identify the need for the inclusion of other areas of specialisation to complete assignments; Consult on complex providing advice to People Leaders to support the resolution of escalated issues; Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function; Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy; Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively; Influence or convince stakeholders to achieve outcomes
Communication Scope
Communicate complex information
Process & Methodology
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, lead collaborative assignments, identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes
Full Job Description
# **Job Description** **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. **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 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. **Assistant Vice President Expectations** * 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
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