Job
- Level
- Senior
- Ort
- Ingelheim am Rhein
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du globale Datenmodelle und integrierst Datenservices, während du effiziente Cloud-Lösungen mit AWS umsetzt und DataOps-Praktiken für analytische Plattformen implementierst.
Job Technologien
Deine Rolle im Team
- As Senior Data Engineer for Animal Health Clinical Development, you will shape globally distributed data models and integration services from concept through production readiness.
- Working across international IT and business teams in Ingelheim, you will combine technical leadership, project management and expert consulting to deliver secure, transparent and reliable data services.
- This position can be filled in Ingelheim.
- This position has a hybrid setup with at least 2 days per week on site.
- Act as a trusted partner to business stakeholders, translating business needs into scalable, sustainable technology and data solutions.
- Design, implement, and support Clinical Development data platforms and cloud-based data services across the Animal Health ecosystem.
- Enable efficient data acquisition, integration, transformation, analytics, and reporting through modern AWS-based solutions.
- Drive data interoperability, system integration, and enterprise-wide information exchange across clinical, regulatory, and business platforms.
- Implement DataOps, automation, and operational excellence practices to improve quality, scalability, efficiency, and user experience.
- Lead data governance, platform strategy, and the evolution of future data management capabilities, including metadata, semantic technologies, and interoperability frameworks.
- Collaborate with business, scientific, and IT stakeholders to identify opportunities, modernize technology landscapes, and deliver value-driven solutions.
- Provide technical leadership, project oversight, mentoring, and stakeholder engagement while ensuring compliance with enterprise architecture, security, and data standards.
Unsere Erwartungen an dich
Ausbildung
- Master's degree in Computer Science, Data Engineering, Information Systems, Life Sciences Informatics or a related field or a Bachelor's degree with more relevant professional experience.
Qualifikationen
- Strong expertise in data modeling, data integration, and end-to-end data management processes.
- Knowledge of containerization and orchestration technologies (Docker, Kubernetes, OpenShift, or similar) and GxP-regulated environments, including data governance, quality, security, and compliance.
- Demonstrated project delivery, stakeholder management, communication, and teamwork skills, with a proactive, solution-oriented, and accountable mindset.
- Fluent English skills are required.
Erfahrung
- Several years of professional experience in DataOps, Data Engineering, Data Integration, Clinical Systems, or Data Platform Engineering, preferably within pharmaceutical, healthcare, or life sciences environments.
- Hands-on experience with cloud-based data platforms and services, preferably AWS, including modern analytics solutions such as Snowflake or Databricks.
- Experience developing and supporting ETL/ELT pipelines, API integrations, and data interoperability solutions.
- Strong programming and scripting skills (Python preferred), along with experience in relational databases and data architecture concepts.
Unser Angebot
- 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.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Boehringer Ingelheim
Boehringer Ingelheim ist ein Pharmaunternehmen, das sich seit mehr als 130 Jahren der Erforschung, Entwicklung und Produktion von Medikamenten mit hohem therapeutischen Nutzen für Menschen und Tiere widmet. Als Familienunternehmen planen wir langfristig und investieren daher besonders in die Forschung und Entwicklung. So können wir uns einigen der größten Gesundheitsprobleme unserer Zeit widmen. Unsere Vision „Werte schaffen durch Innovation“ hat unsere Zusammenarbeit seit jeher geprägt und ist sowohl für uns Anspruch als auch Antrieb.
Description
- Gründungsjahr
- 1885
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech
Senior Data Engineer
- Ort
- Ingelheim am Rhein
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
