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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.
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FinCrime Analytics Engineer at Satispay — Barcelona Hybrid

Build data models, high-volume pipelines, and AI-enabled workflows that strengthen risk decisions at Satispay. This hybrid Barcelona role combines analytics engineering, feature-store development, and cross-functional data strategy.

ESSpaniaHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de analiză a datelor
AirflowETLPythonSparkSQL

Descriere

  • Develop the Data Mesh layer through robust 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-powered agentic workflows for data transformation and exploration
  • Lead cross-functional initiatives shaped by varied business needs
  • Turn technical findings into practical actions and improvements to data models
  • Build valuable feature-store capabilities with efficient code for large data volumes
  • Convert complex data models into clear relations that can be queried efficiently with SQL
  • Raise data performance and quality across the platform
  • Advance data strategy to support stronger risk decision-making

Cerințe

  • At least five years of experience in data engineering or analytics engineering
  • Advanced knowledge of SQL, Python, big data, distributed processing, dbt, Airflow, Spark, or comparable technologies
  • Practical experience developing ETL data pipelines
  • Strong written and verbal communication skills
  • Fluency in English
  • Experience with feature stores, graph databases, or machine learning engineering is advantageous
  • Willingness to relocate to Barcelona
  • Availability to work from the office three days each week

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 working arrangement
  • Flexible working hours
  • Enhanced parental leave
  • Additional leave for caring for a sick child
  • Option to request additional remote-working time

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