Intermediate Data Engineer
Role Overview
CDL is recruiting an Intermediate Data Engineer for its Insurance Retail department.
The role builds and supports reliable, automated, cloud-ready data solutions, data services and supporting infrastructure.
The engineer works with engineers, analysts, architects and stakeholders to deliver maintainable, observable and secure solutions.
Key Skills for This Role
Full Job Posting
Role overview
CDL is recruiting an Intermediate Data Engineer for its Insurance Retail department.
The role builds and supports reliable, automated, cloud-ready data solutions, data services and supporting infrastructure.
The engineer works with engineers, analysts, architects and stakeholders to deliver maintainable, observable and secure solutions.
Responsibilities
- Build, test, monitor and maintain data pipelines and platform infrastructure using CI/CD, IaC and DevOps practices.
- Apply security controls, encryption, monitoring and secure engineering practices across data and cloud operations.
- Use AWS and PostgreSQL/AWS RDS to deliver and support scalable, reliable data solutions.
- Adopt AI-assisted tools responsibly to improve delivery, quality, documentation, analysis and operational efficiency.
- Automate deployment, testing and operational workflows with GitLab pipelines, version control, Terraform/OpenTofu and scripting.
- Contribute to data quality, lineage, governance, observability and platform reliability.
- Investigate data and operational issues, identify preventative improvements and automate repeatable work.
- Gather business and technical requirements and design data models for reporting, analytics and operational use.
- Contribute to upgrades, migrations, schema updates and platform modernisation.
- Document products and processes, share knowledge, mentor less experienced engineers and contribute to feature deliveries.
- Own work through development, testing, production support, incident resolution and continuous improvement.
Requirements
- Hold or be willing to obtain a relevant AWS certification registerable against the CDL APN.
- Proven experience with AWS services for data engineering and operational support, including services such as RDS, S3, Lambda, ECS, EC2, VPC or CloudWatch.
- Strong SQL skills, including PostgreSQL experience and query optimisation awareness.
- Experience with MySQL and Oracle databases is advantageous.
- Use AI-assisted engineering tools responsibly and be willing to learn and adopt emerging tools.
Tools and technologies
- The description names AWS services including RDS, S3, Lambda, ECS, EC2, VPC and CloudWatch.
- Deployment and infrastructure tools include GitLab pipelines, Terraform/OpenTofu and scripting.
- AI tools mentioned as examples include Kiro and GitHub Copilot, or equivalent technologies.
About CDL
CDL is a UK software development company serving the retail insurance, finance, aggregator, web and telematics markets.
The company develops software, websites and apps for insurance and finance clients.
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