Job
- Level
- Senior
- Location
- Ingelheim am Rhein
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop global data models and integrate data services while implementing efficient AWS cloud solutions and DataOps practices for analytical platforms.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- 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.
Qualifications
- 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.
- Fließende Englischkenntnisse sind erforderlich.
Experience
- 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.
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What we offer
- 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.
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Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Boehringer Ingelheim
For over 130 years, Boehringer Ingelheim has been probing, creating and producing novel medications with high therapeutic advantages for people as well as animals. As a family-run pharmaceutical enterprise we plan long-term and consequently invest heavily in research & development. We take great pride in tackling some of the biggest health issues our world faces today. Our vision “Creating Values through Innovation” has always shaped our collaboration while serving both as requirement and momentum at once.
Description
- Founding Year
- 1885
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Senior Data Engineer
- Location
- Ingelheim am Rhein
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
