Join us as a Data Engineer at Barclays where your role will focus on building data pipelines, understanding requirements, implementing data engineering requirements and production support for a global team, both based in the US and in Glasgow.

To be successful as a Data Engineer, you should have experience with:

• Python
• AWS Glue
• Athena
• S3

ACCOUNTABILITIES

• 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.

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.