Software Engineer

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

Benefits offered by this job

Company Laptop

Bonus Scheme

Hybrid working

Healthcare

Pension

Cycle to work

Career progression

Job summary

Creditsafe is seeking a Software Engineer to join the Data Cloud team in Dublin. This hybrid role requires 50% office attendance weekly. You will contribute to a high-throughput data warehouse and APIs using Python, Airflow, Redshift, and AWS services.

The team emphasizes scalable, reliable data delivery, code quality, and continuous learning. You will work on a platform processing billions of objects daily, with opportunities for growth, learning, and collaboration across QA and product teams.

Qualifications

• Proven development experience in production-grade APIs and data pipelines.
• Experience building data-driven platforms in cloud environments.
• Strong focus on learning and collaborative problem solving.

Responsibilities

• Actively contribute to the codebase and peer reviews.
• Design and build a metadata-driven, event-based distributed processing platform using Python and AWS tools.
• Develop scalable APIs and data processing workflows for thousands of customers.

Skills

Team collaboration

Communication

Problem solving

Learning mindset

Explain technical concepts

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Airflow

Redshift

DynamoDB

AWS Glue

S3

Lambda

ECS

API Gateway

CloudWatch

X-Ray

Git

CI/CD

Job description

Creditsafe is seeking a Software Engineer to join the Data Cloud team. This hybrid role is based in Dublin, with an expectation of 50% office attendance each week.

About Creditsafe:

With the largest owned database supported by a partner network, Creditsafe provides data on 320 million companies in over 100 countries to support its customers. Creditsafe is scaling its business and currently experiencing significant growth in Ireland. As a data company, Creditsafe collects and processes large amounts of complex data from multiple channels to serve our clients with opportunities to gain actionable insights. Our holistic data aggregation helps our clients fill knowledge gaps, influence decision-making, and uncover hidden patterns.

About the Opportunity:

This opportunity is to join a team of highly skilled engineers who are enhancing Creditsafe's data offerings with high throughput and scalability as primary goals. Our team is building an ELTL-based Data Warehouse and serving solution coded in Python and leveraging AWS solutions such as Lambdas and ECS for processing, Step Functions and SQS for scheduling and sequencing, S3 for the raw storage layer, Redshift for the data lake and warehouse layers, Aurora and API Gateway for serving, and CloudWatch and X-Ray for monitoring. The platform collects, matches, and enhances over a billion objects from hundreds of providers with daily updates of more than 10 million objects while handling the addition, deletion, and correction of our data and indexes in an auditable manner. The team is also building highly available and low latency APIs to enable our clients with faster data delivery, feeding both frontend and direct-access single and batch queries.

What You Will Be Doing:

• Actively contribute to the codebase and participate in peer reviews.
• Design and build a metadata-driven, event-based distributed data processing platform using technologies such as Python, Airflow, Redshift, DynamoDB, AWS Glue, and S3.
• Design, develop, and deploy business-critical systems used by thousands of customers, with constant opportunities for learning and growth.
• Build and scale Creditsafe APIs to securely support over 1000 transactions per second using serverless technologies.
• Execute practices such as continuous integration to enable the rapid delivery of working code.
• Collaborate alongside QA with a shift-left-testing approach, focusing on maintainability and quality from the very beginning.
• Understand company and domain data to make recommendations to improve existing products.

What We Are Looking For:

• Demonstrable ability to write clean and efficient code leveraging cloud environments for best performance.
• Proven of development experience within a commercial environment creating production-grade APIs and data pipelines in Python.
• A strong focus on constant learning and growth, seeking to elevate others alongside you.
• A desire to grow your skills through daily technical challenges and enjoy problem-solving, whiteboarding, and collaboration with the team.
• Excellent communication skills, with the ability to explain your views clearly to the team and openness to understanding theirs.
• A proven track record of drawing from deep and broad technical expertise, completing hands-on technical work, and tackling complex technology issues head-on.
• The ability to share your ideas collaboratively via wikis, discussion boards, blog posts, presentations, etc., and share any decisions made and lessons learned for the benefit of others.
• Leveraging AI – using AI coding integrations/IDEs like Copilot/Cursor, chat-agent models like Claude or ChatGPT 4/4o, platforms like Perplexity or others – to enhance your productivity and quality (don't worry, no vibe-coding here; we trust our devs over models).

Benefits

• Competitive Salary.
• Company Laptop supplied.
• Bonus Scheme.
• 25 Days Annual Leave (plus bank holidays).
• Hybrid working model.
• Healthcare & Company Pension.
• Cycle to work and Wellbeing Programme.
• Global Company gatherings and events.
• E-learning and excellent career progression opportunities.

Plus more that can be found on the benefits section on the Careers page, https://careers.creditsafe.com/gb/

We encourage candidates to present their skills, qualifications and experience accurately. While the responsible use of AI tools is accepted, any exaggeration, misrepresentation or misleading information within applications or CVs may impact progression through our recruitment process.

As an equal opportunities employer, we are committed to assessing all candidates fairly and consistently based on their genuine experience and capabilities.