FinCrime Analytics Engineer
1 giorno fa
Monza, Lombardia, Italia
Satispay
Tempo pieno
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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
* 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