This role offers more than a position — 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 high‑impact insights, accelerate decision‑making, 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, you’ll drive change, embrace continuous improvement, and thrive in a fast‑moving environment where priorities evolve day by day.
This position can be filled in different countries: Germany (Ingelheim and Biberach possible) and Spain (Sant Cugat del Vallès).
If you want to apply for the position in Spain, please use this link: Senior Data Engineer Medicine & Analytics .
If you want to apply for the position in Germany click "Apply now".
Discover our Biberach site: xplorebiberach.com
- 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.
- Master’s 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 bachelor’s 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 — 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
As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package.
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.
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: [email protected]
Please submit your application documents in English.
