Satispay
Satispay
201 – 500 Darbinieki
B2BElektroniskā komercijaFintech
Satispay ir finanšu tehnoloģiju uzņēmums, kas izstrādā mobilos maksājumu rīkus privātpersonām un uzņēmumiem. Tā lietotne atbalsta ikdienas maksājumus, naudas pārskaitījumus, digitālos kuponus, darbinieku labumus un ēdināšanas kuponus, palīdzot lietotājiem vienuviet pārvaldīt klātienē un tiešsaistē veiktos tēriņus. Uzņēmums dibināts 2013. gadā, un tas apkalpo vairāk nekā 4,5 miljonus lietotāju un vairāk nekā 400 000 uzņēmumu. Tā 201–500 darbinieku komanda darbojas finanšu tehnoloģiju, e-komercijas un B2B tirgos.

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.

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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