Satispay
Satispay
201 – 500 कर्मचारी
B2Bई-कॉमर्सफिनटेक
Satispay एक फिनटेक कंपनी है जो व्यक्तियों और व्यवसायों के लिए मोबाइल भुगतान साधन विकसित करती है। इसका ऐप रोज़मर्रा के भुगतान, धन हस्तांतरण, डिजिटल वाउचर, कर्मचारी लाभ और भोजन वाउचर जैसी सुविधाएँ उपलब्ध कराता है, जिससे उपयोगकर्ता व्यक्तिगत और ऑनलाइन खर्चों को एक ही स्थान से प्रबंधित कर सकते हैं। 2013 में स्थापित यह कंपनी 201–500 कर्मचारियों की टीम के साथ फिनटेक, ई-कॉमर्स और B2B बाज़ारों में काम करते हुए 45 लाख से अधिक उपयोगकर्ताओं और 4 लाख से अधिक व्यवसायों को सेवाएँ देती है।

Mid-Senior FinCrime Analytics Engineer, Satispay (Barcelona Hybrid)

Build governed data pipelines, feature stores, and AI-driven workflows for Satispay’s financial crime analytics. Help strengthen risk decisions across the company’s financial services platform.

विवरण

  • Advance the Data Mesh layer through resilient data models and pipelines aligned with Satispay’s federated data strategy
  • Maintain reliable data collection and high-volume batch processing for dashboards and analytical models
  • Create AI-enabled agentic workflows for data transformation and exploration
  • Lead cross-functional initiatives spanning varied business needs
  • Turn technical findings into practical improvements and more effective data models
  • Build high-value feature-store capabilities with optimized code for large-scale data
  • Convert complex data models into clear, efficient SQL-queryable relationships
  • Optimize platform performance while maintaining strong data quality

आवश्यकताएँ

  • At least five years of experience in data engineering or analytics engineering
  • Strong command of SQL, Python, big-data technologies, distributed processing, dbt, Airflow, Spark, or comparable tools
  • Practical experience developing ETL data pipelines
  • Clear and effective communication skills
  • Fluent English
  • Experience with feature stores, graph databases, or machine learning engineering is an advantage

लाभ

  • Private health insurance for you and your family
  • Access to psychological support through Serenis
  • Mental health workshops
  • Stock option plan
  • Meal vouchers
  • Relocation assistance for international moves
  • Professional development programs
  • Internal mobility opportunities
  • Language courses through Preply
  • Unlimited paid time off
  • Hybrid work policy
  • Flexible working hours
  • Enhanced parental leave
  • Additional leave when a child is sick

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