Overview In this role, you will lead the data strategy to strengthen risk decision-making by ensuring analytical data is accessible, well-structured, and aligned with operations. You’ll design scalable data models and pipelines within a federated Data Mesh, driving data quality and governance. You’ll enable self-service analytics and AI-powered workflows for stakeholders. This role offers high impact in a fast-growing fintech with a clear mission to improve financial lives. Retribuzione / Benefits * private health insurance for you and family * Stock Option Plan * relocation support * professional development programs * language courses * unlimited PTO with hybrid policy Responsabilità * Design Data Architecture and Data Mesh delivery to enable scalable,



governed data ownership * Ensure high-quality data collection and manage large-scale batch processing for dashboards and models * Define and implement AI-powered agentic workflows for data transformation and exploration * Direct cross-functional initiatives, translating technical insights into actionable data model improvements * Build feature store capabilities with efficient, high-volume data processing * Simplify complex data models into clear, query-friendly structures via SQL Requisiti fondamentali * 5+ years in data engineering or analytics engineering * Strong SQL and Python proficiency * Experience with Big Data, distributed processing, and ETL pipelines * Hands-on experience with dbt, Airflow, Spark or equivalent technologies * Excellent communication skills and English proficiency * Nice to have: experience with Feature Stores, Graph Databases, ML Engineering * proactive * curious * ownership * SQL * Python * Big Data

📌 FinCrime Analytics Engineer (Milano)
🏢 Satispay
📍 Milano