Start Date
Immediate
Expiry Date
14 Sep, 25
Salary
0.0
Posted On
15 Jun, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Volunteering
Industry
Information Technology/IT
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.
SKILLS & EXPERIENCE
We value skills and experience gained in a range of ways—including employment, self-study, freelance, or volunteering.
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.
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