Data Engineer (Patient Data Products)

Quick Facts

• Role: Data Engineer (Patient Data Products)

Description

Build and enhance patient data products within a modern clinical data platform. Design scalable ETL/ELT pipelines and integrate patient and study-related data from multiple sources (including APIs) for downstream consumers. Develop data processing solutions using Python and Spark, ensuring data quality, reliability, and performance.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines
• Build and enhance data products for business and analytics needs
• Ingest and integrate data from multiple sources, including APIs
• Develop data processing solutions using Python and Spark
• Ensure data quality, reliability, and performance
• Collaborate with Product Owners, Business Analysts, and business stakeholders
• Support cloud-based data solutions in AWS
• Contribute to Agile DevOps delivery practices

Requirements

• 6+ years of experience as a Data Engineer
• Experience building data pipelines for data product creation
• Strong ETL/ELT development experience
• Hands-on experience with AWS
• Strong Python skills
• Experience with Spark
• Strong SQL skills
• Experience integrating data via REST APIs
• Ability to work independently and communicate effectively with business and technical stakeholders

Benefits

• Long-term cooperation based on education, partnership, and responsibility
• Work on projects for the world’s largest brands in financial and telecommunications sectors
• International collaboration and growth opportunities (Poland or Slovakia, Czech Republic, Bulgaria)
• Modern environment with innovative technologies
• Flexible working hours
• Private medical care
• Multisport card or My Cafeteria
• Life insurance
• NATEK Loyalty Club
• Socially responsible community and company initiatives
• Contractors: entitlement to 23 additional service days per year
• Additional paid day off for volunteering for employees on employment contract