Satispay
Satispay
201 – 500 Employees
B2BeCommerceFintech
Satispay is a fintech company building mobile payment tools for individuals and businesses. Its app supports everyday payments, money transfers, digital vouchers, employee benefits, and meal vouchers, helping users manage in-person and online spending from one place. Founded in 2013, the company serves more than 4.5 million users and over 400,000 businesses through a team of 201–500 employees operating across fintech, eCommerce, and B2B markets.

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.

Description

  • 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

Requirements

  • 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

Benefits

  • 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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