Satispay
Satispay
201 – 500 Angajați
B2BComerț electronicFintech
Satispay este o companie de tehnologie financiară care dezvoltă instrumente de plată mobilă pentru persoane fizice și companii. Aplicația sa permite efectuarea plăților de zi cu zi, transferuri de bani, utilizarea voucherelor digitale, accesarea beneficiilor pentru angajați și folosirea tichetelor de masă, ajutând utilizatorii să își gestioneze cheltuielile în magazine și online dintr-un singur loc. Fondată în 2013, compania deservește peste 4,5 milioane de utilizatori și mai mult de 400.000 de companii, printr-o echipă de 201–500 de angajați care activează pe piețele fintech, eCommerce și B2B.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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