Data Engineer: AWS Pipelines, Data Lakes & ML Enablement

3761 Barclays - BX - UK; Glasgow; On-site; GBP 65,000 - 90,000; Full time

Job summary

Barclays in Glasgow is hiring a Data Engineer to build and maintain data pipelines, data warehouses and data lakes, ensuring data is accurate, accessible and secure across the organisation. You will collaborate with data scientists to deploy analytics models and work with cloud services and CI/CD tooling to deliver robust data platforms that support decision making at scale.

The role emphasizes security, governance and scalable architectures, with opportunities to influence data strategy and

Qualifications

• Deep knowledge of AWS networking (VPC, Route 53), compute (EC2, Lambda), storage (S3), and IAM security controls.
• Proficiency in Infrastructure as Code (Terraform or AWS CloudFormation) to provision immutable environments.
• Experience building CI/CD pipelines using GitHub Actions, GitLab CI, or AWS CodePipeline.

Responsibilities

• 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.

Skills

AWS Core Services

IaC

CI/CD automation

Tools

Terraform

AWS CloudFormation

GitHub Actions

GitLab CI

CodePipeline

Job description

Barclays in Glasgow is hiring a Data Engineer to build and maintain data pipelines, data warehouses and data lakes, ensuring data is accurate, accessible and secure across the organisation. You will collaborate with data scientists to deploy analytics models and work with cloud services and CI/CD tooling to deliver robust data platforms that support decision making at scale.

The role emphasizes security, governance and scalable architectures, with opportunities to influence data strategy and