Systems Engineer, Data Platform & APIs (Python/AWS)

Creditsafe; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working model

Company Laptop

Bonus Scheme

25 Days Annual Leave

Healthcare & Pension

Cycle to work

Job summary

Creditsafe in Dublin is seeking a Systems Engineer for our Data Cloud team. This hybrid role requires 50% office presence weekly and offers exposure to a high-throughput, scalable data platform built with Python and AWS services.

You will contribute to a metadata-driven processing platform, build and scale APIs for thousands of customers, and participate in peer reviews, CI practices, and QA collaboration to ensure robust, auditable data delivery.

Qualifications

• Production-grade APIs and data pipelines built in Python.
• Experience delivering in a commercial setting.
• Strong knowledge of cloud-based data processing architectures.
• Comfort with learning new cloud services and tools quickly.
• Excellent communication and teamwork abilities.

Responsibilities

• Contribute to codebase and participate in peer reviews.
• Design and build metadata-driven, event-based data processing platform.
• Develop scalable APIs and data services for thousands of customers.
• Implement CI practices for rapid delivery of working code.
• Collaborate with QA in shift-left testing from the start.
• Understand data domains to improve existing products.

Skills

Python development

API development

Cloud environments

Team collaboration

Tools

Airflow

Redshift

DynamoDB

AWS Lambda

AWS ECS

Step Functions

S3

Aurora (RDS)

API Gateway

CloudWatch

X-Ray

Job description

Creditsafe in Dublin is seeking a Systems Engineer for our Data Cloud team. This hybrid role requires 50% office presence weekly and offers exposure to a high-throughput, scalable data platform built with Python and AWS services.

You will contribute to a metadata-driven processing platform, build and scale APIs for thousands of customers, and participate in peer reviews, CI practices, and QA collaboration to ensure robust, auditable data delivery.