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Software Engineer | Data Solutions (GCP)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer | Data Solutions (GCP): Architecting a fresh, serverless data platform and building high-impact data products on GCP with an accent on Python, cloud-native services, and end-to-end ownership. Focus on deconstructing complex data problems, designing scalable solutions, and deploying services collaboratively from ideation to production.

Location: Stockholm, Sweden; on-site at least 3 days per week

Company

hirify.global Payments is a Swedish fintech providing real-time account-to-account payments through open banking and its proprietary payment infrastructure across European markets.

What you will do

  • Architect a new serverless data platform on Google Cloud Platform.
  • Build and deploy high-impact data products and cloud-native services.
  • Own solutions from ideation through deployment.
  • Deconstruct complex data problems and develop elegant, scalable solutions.
  • Collaborate with the Data Solutions team to shape technical architecture and development practices.

Requirements

  • 5+ years of software engineering experience building and deploying cloud-native services.
  • Deep proficiency in Python and a modern-first development approach.
  • Proactive mindset and ability to work autonomously with responsibility.
  • Willingness to collaborate in person at the Stockholm office, with on-site work required at least 3 days per week.

Nice to have

  • Experience with Google Cloud Platform and its ecosystem.
  • Experience with serverless architectures and cloud development.

Culture & Benefits

  • Ownership of solutions from ideation to deployment.
  • Collaborative approach to architecture and problem-solving.
  • Iterative environment with freedom to shape technical practices.
  • Focus on innovation, mutual respect, and avoiding legacy red tape.
  • Work on data solutions with a direct connection to business outcomes.

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