Jobs at Barclays

The BA-4 AWS Data Engineer builds and maintains data systems, collaborates with data scientists, and drives innovation in digital offerings, focusing on data architecture and analytics.

Design, develop, and execute testing strategies while collaborating with teams to resolve defects and improve testing processes, ensuring software quality.

Design, build and maintain scalable data pipelines, data warehouses and data lakes using AWS and Snowflake. Develop data processing algorithms, support ML model deployment, ensure data governance and security, lead or guide a team, and collaborate with stakeholders to translate requirements into ETL/ELT solutions.

Design, develop, and maintain high-performance trading platforms and risk systems by collaborating with traders and stakeholders, implementing features, and driving innovation.

Design and develop trading and risk management platforms, implement enhancements, collaborate with stakeholders, and utilize quantitative expertise in finance and programming.

Design and develop high-quality mobile applications for iOS and Android using various technologies, ensuring intuitive user experiences and maintaining code quality.

Design and develop high-performance trading and risk management platforms. Collaborate with stakeholders to enhance trading systems, implement features, and drive innovation.

Design, develop and maintain management reports, dashboards and automated reporting pipelines. Build curated datasets via SQL and data modelling, perform exploratory analysis and cleansing, implement BI semantic models and DAX measures, ensure observability and controls, and engage stakeholders. Lead or coach team members and influence decision-making across the business.

The Infrastructure Engineer will design and maintain infrastructure platforms, focusing on performance, security, and reliability, while collaborating cross-functionally and automating processes.

Responsible for leading QA efforts for the Large Holdings application in compliance business, ensuring high-quality software through Agile methodologies, cross-functional collaboration, and test strategy definition.

The Data Engineer will build and maintain data systems, ensuring accuracy and accessibility of data. Responsibilities include designing data architectures and collaborating with data scientists on machine learning models.

The role focuses on ensuring system reliability and performance through software engineering, automation, and best practices in incident management, all while supervising team activities and improving service delivery.

Design, develop, and maintain trading and risk management platforms in the investment banking domain, collaborating with traders and stakeholders to implement enhancements and ensure system performance.

Design, develop and deliver scalable, secure Java-based software using Spring and RESTful architectures. Collaborate cross-functionally, participate in code reviews, implement unit and component tests, follow secure coding practices, and contribute to technical communities and platform evolution.

Design, develop and deliver scalable, maintainable software using Spring Boot, React and Java. Collaborate cross-functionally, follow secure coding and unit testing practices, participate in code reviews, and contribute to technical strategy and continuous improvement.

Design, build and maintain AWS-based data pipelines, data lakes and warehouses (Snowflake). Implement ETL/ELT using PySpark, DBT and Snowflake; ensure data quality, security, governance, and collaborate with data scientists to deploy ML models.

As a Software Engineer, you'll develop high-quality software solutions, collaborate with teams, ensure secure coding, and implement unit testing.

Design, develop, and execute automated and manual test strategies (E2E, integration, regression, API, database). Create/maintain automation frameworks, integrate tests into CI/CD, perform root cause analysis, collaborate with cross-functional teams, lead testing programs and teams, and drive continuous test and quality improvements.

Design, develop, and execute automated test strategies and frameworks (BDD/Cucumber) to validate functionality, performance, and backend data. Collaborate with developers and product owners to identify defects, perform root cause analysis, and drive continuous improvement in test coverage, efficiency, and release quality.

The role involves designing and implementing data entitlement systems, managing complex data architectures, and collaborating with data scientists to automate data governance in a market data platform.