Data Cloud Systems Engineer - Python & AWS APIs

Creditsafe Group; Dublin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Bonus Scheme

Cycle to work

Wellbeing Programme

Global company gatherings

E-learning

Career progression

Company laptop supplied

Job summary

Creditsafe is seeking a Systems Engineer to join the Data Cloud team in Dublin. This hybrid role requires about 50% office attendance weekly and offers opportunities to shape high-throughput data processing and API services.

You will contribute to a metadata-driven, event-based platform, using Python, Airflow, Redshift, DynamoDB, AWS Glue, and S3, with scale and reliability as primary goals.

Qualifications

• Demonstrable ability to write clean and efficient code leveraging cloud environments for best performance.
• Proven development experience in production-grade APIs and data pipelines using Python.
• Strong focus on learning, growth, and collaborative problem-solving.

Responsibilities

• Actively contribute to the codebase and participate in peer reviews.
• Design and build a metadata-driven, event-based distributed data platform using Python, Airflow, Redshift, DynamoDB, AWS Glue and S3.
• Develop, deploy and maintain business-critical systems serving thousands of customers.
• Scale Creditsafe APIs to support over 1000 TPS using serverless technologies.
• Implement CI practices to accelerate delivery of working code.
• Collaborate with QA with a shift-left testing approach to ensure quality from the start.
• Understand domain data and suggest improvements to existing products.

Skills

Python

API development

Cloud platforms

Team collaboration

Tools

AWS

Redshift

S3

DynamoDB

Airflow

API Gateway

Job description

Creditsafe is seeking a Systems Engineer to join the Data Cloud team in Dublin. This hybrid role requires about 50% office attendance weekly and offers opportunities to shape high-throughput data processing and API services.

You will contribute to a metadata-driven, event-based platform, using Python, Airflow, Redshift, DynamoDB, AWS Glue, and S3, with scale and reliability as primary goals.