Engineering Manager

🌍 Who We Are
At Creditsafe, we believe in building a workplace where inclusion, growth, and well-being are embedded in everything we do. Guided by our values—customer obsession, trust, respect, and courage to be different—we have created a culture where individuals can thrive and careers flourish.

We support over 100,000 businesses worldwide through connected data and user-centred solutions powered by AI, machine learning, and automation. Our global community of Creditsafers spans 25 offices across 14 countries, working together to solve complex challenges and learn from each other.

Twice listed in The Sunday Times’ 100 Best Companies to Work For, we are proud of our legacy of supporting people to build meaningful careers in a workplace where everyone can bring their whole self to work.

🧭 About the Role
We are looking for an experienced and thoughtful Engineering Manager to join our Data Cloud team based in Dublin. This is a hybrid role, with time in the office as part of our flexible working policy.
(You may not be able to offer flexibility in hours or working locations for this role, but always consider that being able to do this will open up your talent pool and make roles more accessible, so it is worth really considering if you can.)

This role is ideal for someone who enjoys working collaboratively with both technical teams and business stakeholders. You will lead a group of skilled engineers who are reimagining our data delivery platform to support scale, accuracy, and speed. The platform is built using AWS Redshift, S3, and Python, and is designed to handle billions of records while transforming raw data into API-ready formats.

You’ll help shape our platform and team culture—supporting others to grow, building robust systems, and driving improvements in our ways of working.

🛠️ Key Responsibilities

Lead and support a geographically distributed engineering team
Oversee planning, execution, and delivery of technical projects using agile practices
Provide technical leadership, particularly in AWS, Python, and data system design
Collaborate with stakeholders to align technology with business needs
Drive continuous improvement in engineering processes and team performance
Communicate clearly on project progress, risks, and solutions
Help manage budgets and ensure resources are used effectively
Promote a positive, inclusive team culture

🧠 Skills & Experience
We value skills and experience gained in a range of ways—including employment, self-study, freelance, or volunteering.

Essential:

Experience leading or managing engineering teams
Strong communication and collaboration skills
Technical expertise in AWS, Python, and data-intensive systems
Comfortable with agile methodologies and iterative delivery
Ability to support, guide, and develop engineers at different levels
Experience with system design and scalable infrastructure
Ability to share knowledge and document clearly
Strategic thinking and problem-solving approach

Desirable:

Familiarity with CI/CD pipelines and infrastructure as code (e.g. Terraform)
Experience working with data lake tools (e.g. Glue, Athena, Redshift)
Understanding of API design and performance considerations
Prior work in cloud-native, fast-evolving environments

💬 Accessibility & Adjustments
We are committed to making our hiring process as inclusive and accessible as possible. We’re happy to make adjustments at any stage to support your needs—please let us know what works best for you.

Examples include:

Additional processing time or questions in writing
Screen reader–friendly documents
Flexible interview formats (e.g. video off, use of captions, written responses)
Clear expectations ahead of each stage

🌍 We Welcome All
We welcome applications from candidates of all backgrounds. If we can offer this job description or any part of the application process in a different format, please let us know.

🎁 Benefits