О компании
Barclays is a banking and financial services company that provides markets and post-trade technology, including systems for collecting, storing, processing, and analysing data.
Задачи
•Build and maintain data architecture pipelines for transferring and processing durable, complete, and consistent data
•Design and implement data warehouses and data lakes that manage required data volumes and velocity while meeting security measures
•Develop processing and analysis algorithms for the intended data complexity and volumes
•Collaborate with data scientists to build and deploy machine learning models
•Advise and influence decision-making and contribute to policy development
•Lead collaborative assignments and guide team members through structured assignments
•Identify new directions for assignments and projects and combine cross-functional methodologies to meet required outcomes
•Consult on complex issues and advise People Leaders on escalated issues
•Identify ways to mitigate risk and develop policies and procedures supporting control and governance
•Own risk management and strengthen controls related to the work
•Collaborate with other work areas and business-aligned support functions
•Analyse data from multiple internal and external sources to solve problems creatively and effectively
•Communicate complex information to stakeholders
•Influence stakeholders to achieve outcomes
Требования
•Strong hands-on experience in ETL development, data transformation, and end-to-end pipeline workflows
•Experience creating structured datasets and analytics outputs
•Strong SQL, database querying, joins, and large-scale data modelling skills
•Experience with data warehousing and dataset integration
•Experience integrating multiple enterprise data sources, including APIs and feeds
•Experience working with distributed data environments
•Ability to debug pipelines, resolve data issues, and validate datasets
•Experience with data quality frameworks and controls
•Understanding of financial datasets
•Ability to collaborate across teams and stakeholders
•Ability to advise and influence decision-making
•Ability to lead collaborative assignments and guide team members
•Ability to analyse complex data from multiple sources and communicate complex information
Nice to have: Exposure to AWS, data lake architectures, catalogue-based querying environments, and machine learning model delivery.
Условия
London office.
