FinCrime Analytics Engineer

Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance. That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we're not done. Not even close.

Responsibilities

Drive the development of the Data Mesh layer by designing robust data models and building pipelines that integrate into the company's federated data strategy, ensuring scalable and governed data ownership; Ensure the collection of high-quality data and manage high-volume data batch processing to maintain optimal performance for dashboards and analytical models; Design and implement AI-powered agentic workflows for data transformation and exploration, enabling self-service for key stakeholders; Independently direct cross-functional initiatives across diverse business requirements, turning technical insights into impactful actions and data model optimizations; Develop high-value features to populate the feature store using optimized code capable of processing high volumes of data; Simplify complex data models into clear, efficient data relations that can be easily queried with SQL

Requirements

5+ years in data engineering or analytics engineering; High proficiency in SQL, Python, Big Data, distributed processing, dbt, Airflow, Spark, or similar technologies; Hands-on experience building ETL data pipelines; Excellent communication skills; Fluency in English

Nice to have

Experience with Feature Stores; Experience with Graph Databases; Experience with Machine Learning Engineering

Benefits

Private insurance for you and your family; Psychological support with Serenis; Mental health workshops; Stock Option Plan; Meal vouchers; Relocation support if moving countries; Professional development programs; Internal mobility; Language courses with Preply; Unlimited PTO; Hybrid working policy; Flexible working hours; Enhanced parental leave; Additional leave for child sickness