O pozici
Our Purpose 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. Economic Intelligence is a Mastercard Services program within Economic & Business Intelligence (EBI). The program delivers macro to micro economic and market insights powered by Mastercard data, analytics, and research. Our goal is to help customers understand economic trends, benchmark performance, forecast outcomes, and make informed strategic decisions across geographies and industries. As an engineering organization, we analyze billions of transactions globally and build platforms that deliver insights into historical consumer spending, forecasts of future spending, and expert commentary on the current economic climate. Our customers span financial services, retail, and government sectors worldwide. We are actively expanding our platform capabilities and work closely with Data Scientists and Product Managers to deliver reliable, flexible, and scalable solutions.
Co budeš dělat
- 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.
Koho hledáme
- 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
Benefity
- Nice to have: Exposure to workflow orchestration tools (e.g., Airflow)
- Experience working with analytics, economic data, or large-scale data products
