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Mastercard Logo Mastercard · IT - Software Development

Software Engineer II

Czechia, Prague Employment contract · Job Posted June 04, 2026
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Job Description

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Job Responsibility

  • Implement and maintain data pipeline components across ingestion, processing, and publishing layers under guidance from senior engineers
  • Contribute to the design and evolution of scalable and reliable data pipelines, following established architectural patterns and best practices
  • Develop high-quality, well-tested, and maintainable code in Python and SQL for data processing and transformation
  • Troubleshoot and resolve data quality, performance, and reliability issues in development and production environments
  • Participate in support of production systems, learning incident response and operational best practices
  • Follow and reinforce engineering standards related to testing, documentation, observability, and code reviews
  • Actively reduce technical debt within owned areas by improving code quality and maintainability over time
  • Collaborate with Product Managers, Data Scientists, and other engineers to understand requirements and deliver solutions that meet business needs
  • Participate in code reviews and design discussions, and actively seek feedback to grow technical skills and system understanding

Requirements

  • Solid professional experience building and operating production systems in Python (required)
  • Good working knowledge of SQL, including writing efficient queries for analytical datasets (required)
  • Experience contributing to data pipelines or backend systems in a production environment
  • Hands-on experience with Databricks or similar Spark-based data processing platforms
  • Familiarity with running systems in production, including monitoring, debugging, and basic incident response
  • Understanding of core software engineering principles, data modeling concepts, and clean code practices
  • Comfortable using LLM-based coding tools responsibly, with awareness of the need for validation, testing, and maintainability
  • Strong written and verbal English communication skills, with the ability to collaborate effectively in a cross-functional team

Nice to have

  • Exposure to workflow orchestration tools (e.g., Airflow)
  • Experience working with analytics, economic data, or large-scale data products
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