Data Engineer

Andersen is a global software development company headquartered in Poland with over 18 years of experience. They operate development centers worldwide and provide end-to-end IT services including custom software development, API integration, system architecture, and legacy modernization. The company has a portfolio of long-term partnerships with major clients across industries such as Healthcare, FinTech, Logistics, Automotive, Manufacturing, E-commerce, and Multimedia & Entertainment. Andersen has a team of over 3,700 experts in more than 16 global locations and is recognized among the world’s Top 1,000 B2B service providers.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent.
• At least 5 years of experience as a Data Engineer.
• Hands-on production experience on AWS or Databricks.
• Strong proficiency in Python and PySpark at production quality.
• Experience designing and developing API-first services.
• Experience with Apache Airflow in production.
• Hands-on experience with Kubernetes infrastructure management.
• Strong understanding of distributed data processing and workflow orchestration.
• English language level from Upper-Intermediate and above.

Nice to have:

• Background in ACR or television measurement systems.
• Experience with identity-resolution frameworks.

• Analyze and resolve pipeline failures, triage data integrity issues, and apply targeted code fixes.
• Handle operational tickets and respond to production incidents during designated hours.
• Deliver validated pull requests with automated tests according to engineering standards, including concise technical summaries.
• Migrate legacy processes to Kubernetes-native operators while maintaining Airflow compatibility.
• Refactor code according to customer engineering standards.
• Support cross-functional integration requirements in collaboration with internal teams.