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
Job Summary
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.
Spearhead the evolution of our Reference Data Services function, focusing on building, supporting, and scaling platform capabilities across cloud and on-prem environments.
You will be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
Matching Summary
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.
Skills & Requirements
Must-have
data architectures pipelines
data warehoused and data lakes
processing and analysis algorithms
machine learning models
cloud and on-prem infrastructure
Python programming skills
Nice-to-have
quantitative or front-office developers operate
cost management and optimization tools
organizational constructs in AWS
Barclays Values and Mindset
Key Requirements
Proven experience in software/data engineering
Deep experience with AWS services
Leadership responsibilities or subject matter expert