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।

Analytics Engineer - Satispay (Hybrid, Italy)

Build warehouse models, semantic metrics, and compliance reporting for Satispay’s financial platform. Collaborate with Data Platform teams to deliver auditable core data products.

विवरण

  • Own the full lifecycle of warehouse data products and straightforward data ingestions
  • Make data lineage, PII management, and auditability fundamental to data operations
  • Maintain shared dimensional models and centralized semantic metrics across the Data Mesh
  • Develop and maintain robust, highly auditable models for automated compliance reporting
  • Help shape shared warehouse infrastructure with the Data Platform team
  • Provide context and expertise for internal warehouse maintenance agents
  • Document knowledge proactively and contribute to code reviews
  • Work with business and technical stakeholders to develop core data products

आवश्यकताएँ

  • Advanced SQL expertise
  • Python proficiency for scripting and pipeline development
  • Strong data modeling expertise, including scalable and durable models for varied stakeholders and use cases
  • Extensive experience with dbt or comparable semantic modeling tools
  • Familiarity with workflow orchestration systems
  • Regular use of Git and CI/CD practices
  • Ability to communicate methods and findings to technical and non-technical audiences, including executives
  • Demonstrated ability to build alignment across functions
  • Self-directed approach with ownership of projects and the ability to advance work independently
  • Working proficiency with AI-assisted development tools such as Claude and Cursor
  • Preferred: previous experience in a Data Engineering role
  • Preferred: experience in FinTech or highly regulated data environments
  • Preferred: exposure to LLM tooling built on a data warehouse
  • Preferred: familiarity with Looker, Hex, or Tableau

लाभ

  • Private health insurance for you and your family
  • 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 for caring for a sick child

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