Hybrid Data Engineer: AI-Driven AWS Pipelines

CDL Group; Cheadle; Hybrid; GBP 40,000 - 45,000; Full time

Benefits offered by this job

Hybrid Working (2 Days a Week in the 1

25 days holiday

Health and Wellbeing Programme

Pension scheme

On-site parking

Job summary

CDL is seeking an Intermediate Data Engineer to join the Insurance Retail team in the North West. You will design, maintain and automate data pipelines using SQL, AWS, and DevOps practices to deliver cloud-ready data services and secure data platforms.

The role emphasizes AI-assisted engineering, collaboration with engineers, analysts and stakeholders, and ongoing improvement across data engineering, automation and operational practices, with a strong focus on reliability, governance and

Qualifications

• Strong SQL skills with PostgreSQL experience and query optimisation awareness.
• Experience with AWS services relevant to data engineering (RDS, S3, Lambda, ECS, EC2, VPC, CloudWatch).
• Experience with CI/CD pipelines and automated testing/deployment practices using GitLab or similar tooling.
• Familiarity with IaC tools such as Terraform, OpenTofu or CloudFormation.

Responsibilities

• Build, test, monitor and maintain data pipelines and infrastructure using CI/CD, IaC and DevOps practices.
• Apply security best practices across data pipelines and cloud infrastructure to protect data.
• Design and deliver scalable, secure data solutions using AWS and PostgreSQL.
• Collaborate with engineers and stakeholders to understand requirements and deliver data models for reporting.

Skills

SQL

AWS

DevOps

Data pipelines

Tools

GitLab

Terraform/OpenTofu

Job description

CDL is seeking an Intermediate Data Engineer to join the Insurance Retail team in the North West. You will design, maintain and automate data pipelines using SQL, AWS, and DevOps practices to deliver cloud-ready data services and secure data platforms.

The role emphasizes AI-assisted engineering, collaboration with engineers, analysts and stakeholders, and ongoing improvement across data engineering, automation and operational practices, with a strong focus on reliability, governance and