Implement data quality processes and procedures, ensuring data is reliable and trustworthy, then extract actionable insights to help the organisation improve its operation, and optimise resources
Job Summary
Implement data quality processes and procedures, ensuring data is reliable and trustworthy, then extract actionable insights to help the organisation improve its operation, and optimise resources.
Contribute or set strategy, drive requirements and make recommendations for change, plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.
Drive innovation and creativity by developing forward-thinking, data-driven solutions, transforming raw information into actionable insights that power smarter decisions and operational excellence.
Matching Summary
Implement data quality processes and procedures, ensuring data is reliable and trustworthy, then extract actionable insights to help the organisation improve its operation, and optimise resources.
Skills & Requirements
Must-have
Data architecture and enterprise data modelling
Banking products and risk frameworks
Data modelling tools and frameworks
Advanced SQL and scripting
Data warehousing concepts and ETL tools
Cloud platforms (AWS, Redshift, Glue)
Markets end-to-end data architecture strategy
Nice-to-have
Collaborate across functions and influence
Metadata management and documentation
Barclays Values and Mindset
Problem-solving mindset and determination
Challenging the status quo and introducing new ideas
Key Requirements
Significant experience in data architecture or enterprise data modelling
Experience scaling models across global functions
Experience with cloud platforms (e.g. AWS, Azure)
Familiarity with data governance frameworks and regulatory standards