Senior Data Engineer

Polski Standard Płatności S.A. is a company based in Warsaw, Poland, working on a global analytical platform with a focus on scalability and cost efficiency.

• Minimum 6 years of commercial programming experience in Python or Go.
• Experience with at least one of the following tools: Apache Airflow, Spark, Beam, NiFi, Flink.
• Proficiency in SQL (PostgreSQL) and NoSQL databases including key-value, document, time-series, and columnar DWH.
• Writing code according to Clean Code principles (e.g., meaningful variable and function names, keeping functions and methods short).
• Experience with queue engines.
• Knowledge of commonly used formats, algorithms, and data structures.

Nice to have:

• Experience working with public clouds (Google Cloud preferred, but other clouds considered).
• Knowledge of CI/CD technologies and Infrastructure as Code (Terraform, Ansible).

• Work on creating a global analytical platform focused on scalability and cost.
• Design and develop data pipelines (batch and streaming).
• Create and maintain data contracts, tests, and quality metrics (freshness, completeness, accuracy).
• Design algorithms (deduplication, windowing, segmentation) and data structures optimized for thousands of events per second.
• Collect, analyze, and synthesize requirements from product teams, analysts, and Data Science.
• Promote a data-driven culture in the organization.
• Create documentation and propose new solutions and directions for further development.

The data controller is Polski Standard Płatności S.A. based in Warsaw. Personal data is processed for recruitment purposes under applicable labor law. Candidates have rights to access, rectify, delete, or restrict processing of their data. Providing personal data is mandatory under labor law for recruitment participation. Data is shared only with entities processing data on behalf of the controller for recruitment and employment administration. Candidates have the right to withdraw consent and to lodge complaints with supervisory authorities.