Senior Data Engineer Medicine & Analytics

As a Senior Data Engineer Medicine & Analytics, you will design, build, and operate end-to-end data pipelines and integrations using SnapLogic and AWS services, develop performant analytics-ready data models and transformation layers, and ensure strong data governance, quality, and lifecycle management.

Requirements

• Master’s Degree in Computer Science, Engineering, Data/Information Systems, or a related field
• Solid knowledge of software engineering fundamentals (Python/SQL, Git, coding standards, automated testing, and production support practices)
• Hands-on experience building integrations and pipelines using tools such as SnapLogic and cloud services — specifically AWS S3, Lambda, and Glue
• Proven experience with dbt (models, tests, macros, documentation, environments, CI/CD integration) and strong experience with Snowflake including data modeling, performance tuning, and secure data access patterns
• Familiarity with data governance and metadata management, ideally with Collibra
• Demonstrated ability to work independently, manage priorities, and proactively drive work forward in a dynamic environment
• Strong stakeholder management, analytical thinking, and structured problem-solving skills
• Excellent English (oral and written) and communication skills

Benefits

• Comprehensive benefits and wellbeing package