Data Engineer (Master Consent Management)

More about this opportunity In […], we are looking for an experienced Data Engineer to join a global team responsible for evolving and maintaining a Master Consent Management solution supporting patient consent and compliance-related data.

focuses on designing and optimizing data pipelines, data transformations and cloud-based data solutions within a modern DataOps environment . Your responsibilities Develop and maintain data pipelines supporting patient consent data Build and optimize data solutions in Snowflake Develop and maintain data transformation workflows using dbt Support DataOps processes and deployment automation Integrate data from multiple internal and external sources Ensure data quality, reliability and governance Collaborate with business stakeholders and cross-functional teams Contribute to Agile DevOps delivery practices Our requirements 6+ years of experience as a Data Engineer Experience building data pipelines for data product creation Strong experience with Snowflake Experience with dbt Experience with DataOps.

Live or similar DataOps frameworks Strong SQL skills Good Python skills Experience with AWS Experience integrating data via REST APIs Ability to work independently and communicate effectively with business and technical stakeholders

Experience in Pharma or Clinical Trials domain MongoDB / NoSQL databases DevOps experience GxP knowledge Our offer Long-term cooperation based on our values: education, partnership, and responsib