Join us as a Data Engineer at Barclays, where your role will focus on building data pipelines, understanding requirements, implementing data engineering solutions, and providing production support for a global team based in the US and Glasgow.
To be successful as a Data Engineer, you should have experience with:
* Python
* AWS Glue
* Athena
* S3
* VPC
* Redshift
Highly valued skills include:
* Knowledge of dbt
* Knowledge of Snowflake
* Knowledge of Databricks
This role is based in our Glasgow office.
Purpose of the role
Build and maintain systems that collect, store, process, and analyze data, such as data pipelines, warehouses, and lakes, ensuring data is accurate, accessible, and secure.
Accountabilities
* Build and maintain data architecture pipelines for data transfer and processing.
* Design and implement data warehouses and lakes, managing data volume and velocity while ensuring security.
* Develop processing and analysis algorithms suitable for data complexity and volume.
* Collaborate with data scientists to build and deploy machine learning models.
Assistant Vice President Expectations
* Advise on decision-making, contribute to policy development, and collaborate across functions.
* Lead a team performing complex tasks, set objectives, coach, and evaluate performance.
* If in leadership, demonstrate Barclays' LEAD behaviors: Listen, Energize, Align, Develop.
* For individual contributors, lead collaborative projects and guide team members.
* Consult on complex issues, mitigate risks, and develop policies for control and governance.
* Manage risk and strengthen controls related to your work.
* Coordinate with other areas to achieve organizational objectives.
* Engage in complex data analysis from multiple sources.
* Communicate complex or sensitive information effectively.
* Influence stakeholders to achieve outcomes.
All colleagues are expected to embody Barclays' Values: Respect, Integrity, Service, Excellence, and Stewardship, and to demonstrate the Barclays Mindset: Empower, Challenge, Drive.
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