Senior Cloud Data Platform Engineer – Barclays – Glasgow, Scotland, United Kingdom
Build and maintain systems that collect, store, process, and evaluate data—such as data pipelines, data warehouses, and data lakes—to ensure all data is accurate, accessible, and secure.
Responsibilities
* Build and maintain data architectures and pipelines enabling the transfer and processing of durable, complete, and consistent data.
* Design and implement data warehouses and data lakes managing appropriate data volumes and velocity and adhering to required security measures.
* Develop processing and analysis algorithms fit for intended data complexity and volumes.
* Collaborate with data scientists to build and deploy machine learning models.
Qualifications
* Experience with cloud platforms (AWS/Azure).
* Data engineering expertise (Airflow/DBT, Spark).
* DevSecOps practices.
* Highly valued skills: Terraform, Python/Java, data engineering in AWS/Azure, Snowflake/Databricks.
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Engineering and Information Technology – Banking and Financial Services
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