Barclays

CloudPlatformEngineer

Glasgow, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Problems you'll solve

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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