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Satispay is a fintech platform serving 6.5M+ users, offering payments, benefits, investing, and cards. The company is building what it aims to be the most loved financial platform in the world, with a culture focused on solving real user problems and taking ownership of outcomes.
As FinCrime Analytics Engineer, you will drive the data strategy to elevate risk decision-making across the organization. Your responsibilities include:
• Design Data Architecture: Lead 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.
• Data Integrity and Processing: Ensure collection of high-quality data and manage high-volume data batch processing to maintain optimal performance for dashboards and analytical models.
• Define AI Agentic Workflows: Design and implement AI-powered agentic workflows for data transformation and exploration, accelerating analytical capabilities and enabling self-service for key stakeholders.
• Stakeholder Management & Communication: Independently direct cross-functional initiatives across diverse business requirements, translating technical insights into impactful actions and data model optimizations.
• Build Feature Store Capabilities: Develop high-value features to populate the feature store using optimized code capable of processing and executing across high volumes of data.
• Challenge and Simplify: Simplify complex data models into clear, efficient data relations that can be easily queried with SQL to improve overall performance and ensure high data quality.
The role is hybrid with three days per week in-office (Tuesday, Thursday, plus one day of your choice), with flexibility to request additional remote time.
REQUIREMENTS:
• 5+ years of experience 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 and fluency in English
• Nice to have: Experience with Feature Stores, Graph Databases, and Machine Learning Engineering
