Satispay is hiring an Analytics Engineer to act as the analytical backbone of its data ecosystem, building core data products that support payments, benefits, investing, and cards for over 6.5M users. You will own warehouse data products end to end, maintaining lineage, PII handling, and auditability while enabling a Data Mesh through shared dimensional models and central semantic metrics.

The role also involves automating regulatory reporting, partnering with the Data Platform team on shared warehouse infrastructure, and supporting internal warehouse maintenance agents. Satispay is looking for someone with a data product owner mindset, expert SQL, proficient Python, strong data modeling skills, and deep experience with dbt or similar semantic modeling tools. You will need to communicate methodology and findings to technical and non-technical partners, including executive leadership, and.

Highlights

Own critical warehouse data products end to end, including lineage, PII handling, and auditability
Maintain shared dimensional models and central semantic metrics across domains
Automate complex regulatory reporting with robust, highly auditable data models
Hybrid working in Milan with two days per week in-office and flexible hours

About the role