Overview

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As FinCrime Analytics Engineer at Satispay, you will lead data strategies to improve risk decisions by making analytics data accessible, well-structured, and aligned with operations. You’ll design and evolve the data mesh, ensuring scalable, governed ownership and high-quality data. You’ll create AI-powered workflows to accelerate analytics and enable self-service for stakeholders while simplifying complex data models for faster querying. You’ll collaborate cross-functionally to translate insights into actions that optimize data models and risk outcomes. This role offers the chance to shape a growing financial platform and work on high-impact data initiatives.

Compensaciones / Incentivos

- private insurance for you and your family
- Stock Option Plan
- relocation support
- professional development programs
- unlimited PTO
- hybrid working policy

Responsabilidades

- Design Data Architecture:



develop the Data Mesh layer with robust data models and federated data ownership.
- Data Integrity and Processing: ensure high-quality data collection and manage large-scale batch processing for dashboards and models.
- Define AI Agentic Workflows: implement AI-powered data transformation and exploration pipelines for self-service analytics.
- Stakeholder Management & Communication: lead cross-functional initiatives and translate insights into actions.
- Build Feature Store Capabilities: create high-value features and optimize code for large data volumes. xkdbapo
- Challenge and Simplify: refactor complex data models into clear, query-friendly structures for performance and quality.

Requisitos principales

- 5+ years in data engineering or analytics engineering
- High proficiency in SQL, Python, Big Data, distributed processing, dbt, Airflow, Spark, or similar, with hands-on ETL experience
- Excellent communication and English fluency

- proactive
- curious
- ownership mindset
- SQL
- Python
- Big Data

📌 FinCrime Analytics Engineer - Satispay (Barcelona)
🏢 Jobrapido
📍 Barcelona