Hands-on experience in modern data analytics platforms
Deep understanding of data warehousing principles
Working experience with python for data analysis
The role focuses on implementing data quality processes to ensure reliable data and extracting actionable insights to optimize organizational resources
Job Summary
The role focuses on implementing data quality processes to ensure reliable data and extracting actionable insights to optimize organizational resources.
Candidates are expected to design and build automated data pipelines while applying advanced analytical techniques including machine learning and AI.
This position requires leading or contributing to a team environment that adheres to Barclays values of Respect, Integrity, Service, Excellence, and Stewardship.
Matching Summary
The role focuses on implementing data quality processes to ensure reliable data and extracting actionable insights to optimize organizational resources.
Skills & Requirements
Must-have
Hands-on experience in modern data analytics platforms
Deep understanding of data warehousing principles
Working experience with Python for Data Analysis
Ability to translate business requirements into technical stories
Experience with Agile methodologies like Scrum or Kanban
Nice-to-have
Proactive team player with a can-do attitude
Solid written and verbal communication skills
Knowledge of Retail or Investment Banking sectors
Exposure to data controls techniques
Certification in AWS, Databricks Lakehouse, or DBT
Key Requirements
In-depth technical knowledge in assigned area of expertise
Experience working with technology colleagues and business stakeholders
Understanding of risk mitigation and policy embedding