The Position This role offers more than a position u2014 it provides the opportunity to shape the future of data and analytics within Medicine. As a Senior Data Engineer Medicine & Analytics, you will be part of IT Enterprise Data & Platforms, AI & Platforms and will build and evolve reliable, scalable data products that enable highu2011impact insights, accelerate decisionu2011making, and improve patient outcomes. You will be a key contributor in delivering a modern data ecosystem across cloud and enterprise platforms. With a strong engineering mindset, youu2019ll drive change, embrace continuous improvement, and thrive in a fastu2011moving environment where priorities evolve day by day. This position can be filled in Biberach. Discover our Biberach site: xplorebiberach.com (https://careers.boehringer-ingelheim.com/biberach/) Tasks & responsibilities You will design, build, and operate end-to-end data pipelines and integrations (batch and event driven), using SnapLogic and AWS services (S3, Lambda, Glue) to ensure scalable ingestion, transformation, and orchestration. One of your key tasks will be to develop performant analytics-ready data models and transformation layers, leveraging Snowflake and dbt for modeling, testing, documentation, and efficient deployment. You will ensure strong data governance, quality, and lifecycle management, working with Collibra for metadata/lineage and Attaccama for data quality rules, monitoring, and remediation, and supporting product lifecycle processes through Innovator. In addition, you will drive engineering excellence and operational reliability, applying best practices in version control, CI/CD, code reviews, observability, alerting, automation, and selfhealing mechanisms. Moreover, you will collaborate closely with cross functional partners (Product Owners, Data Scientists, Analysts, Architects, and business stakeholders) to translate needs into reliable, reusable, secure, and compliant data assets. Requirements Masteru2019s Degree in Computer Science, Engineering, Data/Information Systems, or a related field, with several years of relevant experience in data engineering, analytics engineering, or similar roles or a bacheloru2019s degree in these fields with more relevant experience 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 (or comparable iPaaS) and cloud services u2014 specifically AWS S3, Lambda, and Glue as well as 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; understanding of lineage, stewardship, and data catalog practices Demonstrated ability to work independently, manage priorities, and proactively drive work forward in a dynamic environment as well as strong stakeholder management, analytical thinking, and structured problem-solving skills Excellent English (oral and written) and communication skills Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process. Ready to contact us? If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: 49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com Recruitment process: Step 1: Online application - The job posting is presumably online until April 8 th, 2026. We reserve the right to take the posting offline beforehand. Step 2: Virtual meeting in the period from mid-April on. Step 3: Panel interviews from end of April on. Please submit your application documents in English. All qualified applicants will receive consideration for employment without regard to a personu2019s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.