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Be a part of a place where challenges are measured in billions, qubits and nanoseconds. Build your career in an environment where we're advancing machine learning, leveraging blockchains, and harnessing FinTech. Working in Barclays technology, you'll reimagine possibilities: learning and innovating to solve the challenges ahead, delivering for millions of customers. We are shaping the future of financial technology.
Job Responsibility
Delivering a set of enterprise, non-negotiable data strategy outcomes across the end-to-end lifecycle
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models
Requirements
Data Engineering & ETL Development: Strong hands-on experience in ETL development, data transformation, and end-to-end pipeline workflows (ingestion → processing → consumption) including structured dataset creation and analytics outputs
SQL, Data Modelling & Data Warehousing: Solid database and querying skills with expertise in SQL, joins, and large-scale data modelling for warehouse-style analytics and dataset integration
Data Integration & Distributed Systems: Experience integrating multiple enterprise data sources including API/feed handling and working with distributed data environments
Cloud & Data Lake Fundamentals: Exposure to AWS, data lake architectures, and catalogue-based querying environments, supporting scalable data processing
Data Quality, Testing & Debugging: Strong capability in debugging pipelines, resolving data issues, validating datasets, and working with data quality frameworks and controls
Financial Data Domain & Collaboration: Understanding of financial datasets with ability to collaborate across teams and stakeholders to deliver data solutions