CALIGO is a specialist data & AI company where engineers work on real problems — regulatory platforms for banks, ML systems for telecoms, claims analytics for insurers. We are a Great Place To Work® certified team that values ownership, collaboration, and delivery over process and hierarchy.
CALIGO is not a place where you wait to be told what to do. It is a place where you own your work — from the first architecture conversation to the production go-live and the operational monitoring that follows.
We work on problems that matter. When a regulatory platform we built keeps running through a submission deadline at 2am, that is CALIGO engineering in production. When a churn model we deployed reduces subscriber attrition by 23%, that is CALIGO analytics creating measurable commercial value.
Our team is small enough that every person's contribution is visible — and large enough that the client relationships, domain exposure, and technical challenges are genuinely interesting. We hire practitioners, not titles. We promote based on delivery, not tenure.
CALIGO does not offer accelerated promotions on a fixed schedule. We offer something more valuable: genuine depth of experience from working on complex problems in regulated industries — the kind that takes most practitioners a decade to accumulate elsewhere.
A data engineer at CALIGO will have designed dimensional models for banking regulatory reporting, built and operated high-volume CDR processing pipelines, and implemented MLOps monitoring for production credit scoring models — all within the first two to three years of their career.
A governance specialist will have designed data operating models, stood up stewardship communities, and operated governance KPI frameworks for clients whose regulatory obligations require them to work.
We grow people by giving them ownership of difficult problems — and by creating an environment where they can ask for help, learn from senior practitioners, and develop the domain knowledge that makes that technical experience genuinely rare.