Boehringer Ingelheim sucht in Ingelheim am Rhein einen Senior Data Engineer für den Bereich Animal Health Clinical Development. Die Rolle umfasst die Gestaltung und den Betrieb cloudbasierter Datenplattformen auf AWS-Basis sowie die Förderung der Dateninteroperabilität im gesamten Tiergesundheit-Ökosystem. Als vertrauensvoller Partner für Fachabteilungen übersetzt man komplexe Geschäftsbedürfnisse in skalierbare, nachhaltige Technologie- und Datenlösungen. Erwartet werden ein Masterabschluss in Informatik oder verwandten Fachrichtungen sowie mehrjährige Erfahrung in DataOps, Datenintegration und klinischen Systemen, idealerweise in der Pharmabranche. Das Unternehmen bietet ein umfassendes Benefits- und Wellbeing-Paket sowie individuelle Entwicklungspfade in einer wertschätzenden, unabhängigen Unternehmenskultur.
Boehringer Ingelheim – a global biopharmaceutical leader in human and animal health – ranks among the industry's top R&D investors. Since 1885, the company has pursued a long-term vision, embedding sustainability across its entire value chain. With approximately 54,500 employees serving 130+ markets, Boehringer Ingelheim develops innovative therapies that improve and extend lives where unmet medical need is greatest.
What You Will Do
- Partner with business stakeholders to translate complex needs into scalable, sustainable data and technology solutions.
- Design, build, and maintain cloud-based data platforms and services across the Animal Health ecosystem.
- Power efficient data acquisition, integration, transformation, analytics, and reporting through modern AWS-based architectures.
- Drive data interoperability and enterprise-wide information exchange across clinical, regulatory, and business platforms.
- Implement DataOps, automation, and operational excellence to elevate quality, scalability, and user experience.
- Lead data governance, platform strategy, and the evolution of future data capabilities – including metadata, semantic technologies, and interoperability frameworks.
- Collaborate with scientific, business, and IT teams to modernize technology landscapes and deliver value-driven outcomes.
- Provide technical leadership, mentoring, and stakeholder engagement while ensuring compliance with enterprise architecture, security, and data standards.
What We Are Looking For
- Master's degree in Computer Science, Data Engineering, Information Systems, Life Sciences Informatics, or a related field – or a Bachelor's degree with additional professional experience.
- Several years of hands-on experience in DataOps, Data Engineering, Data Integration, Clinical Systems, or Data Platform Engineering – preferably in pharmaceutical, healthcare, or life sciences.
- Strong expertise in data modeling, integration, and end-to-end data management.
- Proven experience with cloud data platforms (AWS preferred) and modern analytics tools such as Snowflake or Databricks.
- Experience building and maintaining ETL/ELT pipelines, API integrations, and data interoperability solutions.
- Strong programming and scripting skills (Python preferred) with solid knowledge of relational databases and data architecture.
- Familiarity with containerization and orchestration (Docker, Kubernetes, OpenShift) and GxP-regulated environments, including data governance, quality, security, and compliance.
- Demonstrated project delivery, stakeholder management, and a proactive, solution-oriented mindset.
- Fluent English is required.
Salary details will be shared during the recruitment process. You will benefit from a comprehensive benefits and wellbeing package. Applications from candidates with severe disabilities are warmly welcomed and given preferential consideration in cases of equal qualification.
Grow your career in a workplace that is independent, authentic, and bold – where your differences are your strengths. Access dedicated health and wellbeing programs while helping transform lives for generations to come.