10 ott - Monza
Satispay
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
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