Cloud Data Engineer - Python & AWS APIs

Creditsafe Group; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Bonus Scheme

Cycle to work

Wellbeing Programme

Global company gatherings and events

E-learning and career progression

Company Laptop supplied

Job summary

Creditsafe is seeking a Systems Engineer in Dublin to join the Data Cloud team. The role is hybrid with 50% office attendance weekly. You will help build a scalable ELTL-based data warehouse and serve APIs for thousands of customers using Python and AWS services.

You will design, implement, and deploy high-throughput data processing and secure APIs, collaborating with QA, and continuously improving code quality and performance while growing your skills.

Qualifications

• Production-grade APIs and data pipelines in Python.
• Ability to write clean, efficient code leveraging cloud environments.
• Willingness to learn, grow, and collaborate with the team.

Responsibilities

• Actively contribute to the codebase and participate in peer reviews.
• Design and build a metadata-driven, event-based distributed data processing platform.
• Design, develop, and deploy business-critical systems used by thousands of customers.
• Build and scale APIs to securely support high transaction volumes using serverless technologies.
• Execute CI/CD practices to enable rapid delivery of working code.
• Collaborate with QA with shift-left testing to ensure maintainability and quality.
• Understand company and domain data to improve existing products.

Skills

Python

APIs

Data pipelines

Cloud environments

CI/CD

Problem solving

Tools

Airflow

Redshift

DynamoDB

AWS Glue

S3

Lambda

ECS

Step Functions

SQS

CloudWatch

X-Ray

Job description

Creditsafe is seeking a Systems Engineer in Dublin to join the Data Cloud team. The role is hybrid with 50% office attendance weekly. You will help build a scalable ELTL-based data warehouse and serve APIs for thousands of customers using Python and AWS services.

You will design, implement, and deploy high-throughput data processing and secure APIs, collaborating with QA, and continuously improving code quality and performance while growing your skills.