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Job description
Build and maintain systems that collect, store, process, and analyze data, including data pipelines, data warehouses, and data lakes. Collaborate with data scientists to build and deploy machine learning models. Contribute to or set strategy, drive requirements, and make recommendations for change.
Build and maintain data architectures, design and implement data warehouses and data lakes, develop processing and analysis algorithms, and collaborate with data scientists.
Must have experience with data engineering, building data pipelines, and working in regulated/large enterprise environments. Strong hands-on experience with AWS services, Apache Spark, and modern Lakehouse architecture.
Company
Finance
Barclays Investment Bank delivers comprehensive financial solutions—including investment banking, strategic advisory, financing, risk management, and market research—to money managers, financial institutions, governments, supranational bodies, and corporate clients worldwide. Its integrated platform combines Investment Banking, International Corporate Banking, Global Markets, and Research to support funding, financing, and risk‑management needs across sectors and economies. Leveraging over three centuries of expertise, Barclays offers a full spectrum of services that enable clients to innovate, grow, and navigate complex market dynamics, positioning the bank as a trusted partner for long‑term financial success.
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Barclays Investment Bank
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Barclays Investment Bank
Barclays Investment Bank
Barclays Investment Bank