Implement data quality processes and procedures to ensure data reliability and extract actionable insights for operational improvement and resource optimization
Job Summary
Implement data quality processes and procedures to ensure data reliability and extract actionable insights for operational improvement and resource optimization.
Lead a team performing complex tasks, advise on policy development, and contribute to operational effectiveness and risk mitigation.
Play a critical role in large-scale data modernization and cloud migration initiatives, acting as a trusted advisor translating complex data and AI capabilities into tangible value.
Matching Summary
Implement data quality processes and procedures to ensure data reliability and extract actionable insights for operational improvement and resource optimization.
Skills & Requirements
Must-have
data quality process and procedures
advanced analytical techniques
data pipelines automation
enterprise data strategy
modern data architectures
Python/SAS/SQL expertise
Databricks and Spark
GitLab for code management
Nice-to-have
strategic advisor
influence decision making
team leadership
Agile delivery methodologies
data governance frameworks
Barclays Values and Mindset
Key Requirements
Graduate in any discipline
Experience with cloud platforms (AWS, Azure, Google Cloud)
Experience with data warehousing concepts
Experience with data governance, MDM, and data quality frameworks
Management consultant background with data transformation experience