Senior Data Engineer

Introduction & Summary: The position of Senior Data Engineer is crucial in facilitating and enhancing data and AI products aimed at improving patient lives globally. As an experienced Data Engineer, you will collaborate with cross-functional product teams to design scalable data solutions that are integral to our enterprise data platform.

Main Responsibilities:

• Collaborate with cross-functional teams to design, develop and maintain data pipelines.
• Act as a liaison between data scientists and IT teams to improve data availability and validation.
• Ingest, integrate, and curate data from various internal and external sources.
• Utilize IaC and CI/CD methodologies to deliver infrastructure components to AWS environments.
• Develop automated tests to ensure data accuracy and quality.
• Implement best practices and standards for effective data management.

• Long-term cooperation.
• Transparently built relations based on trust and fair play.
• Co-financed benefits: Medicover card, Multisport card.

• Strong proficiency in Python programming.
• Proficiency in developing ETL pipelines with Apache Spark, Glue, and Delta Lake.
• SQL knowledge and experience with Data Warehouse concepts.
• Experience in automated unit testing and code quality inspection.
• Working experience with Git, Azure pipelines, and Infrastructure-as-Code (e.g., CDK).
• Experience with AWS services (e.g., S3, Lambda functions, Athena).
• Experience in the pharma domain or other regulated areas is considered an advantage.
• Fluency in English, both written and spoken.

Nice to Have:

• Teamwork skills and willingness to receive feedback.
• Ability to work independently and manage deadlines effectively.

Other Details: This role is positioned within a collaborative team dedicated to innovation in patient care. The organizational culture focuses on personal contributions and career development. It offers a unique chance to impact projects and patient outcomes positively.