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Join Barclays as a Data Provisioning Engineer within the Client Analytics programme, a newly established initiative delivering analytics applications for the Investment Bank by removing manual, report-driven processes. In this role, you will be a dedicated resource supporting the implementation of new market data feeds, working directly with internal and external providers to onboard, model, and integrate data into Barclays’ strategic data platforms. You’ll enable reliable data delivery via APIs and batch feeds, maintain end-to-end pipelines, configure AWS storage, and collaborate closely with a wider engineering and analytics team to ensure high-quality, scalable data solutions that underpin emerging client analytics capabilities.
Job Responsibility:
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:
Experience with market data ingestion and provisioning mechanisms, such as SFTP, REST APIs, vendor SDKs, scheduled file drops, and polling processes
Strong AWS cloud engineering expertise
Proven experience in database modelling and data persistence
Experience with data quality controls, validation, and monitoring
DevOps experience, including setting up and maintaining data pipelines for ingesting, processing, and delivering external data across platforms and systems
Solid knowledge of market data providers, such as FactSet, Dealogic, LSEG, and Bloomberg
Nice to have:
Knowledge of Python
Advanced SQL scripting and query optimisation skills