Senior Data Engineer - Animal Health Clinical Development

Boehringer Ingelheim GmbH; Waldstetten; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Comprehensive benefits

Wellbeing package

Job summary

Boehringer Ingelheim GmbH in Ingelheim is seeking a Senior Data Engineer for Animal Health Clinical Development to shape data models and integration services globally. You will collaborate across IT and business teams, lead data platforms on AWS, and ensure secure, reliable data services from concept through production readiness.

This hybrid role requires on-site presence at least 2 days per week and involves coordinating with international teams to deliver value-driven data solutions in a

Qualifications

• Master’s degree in Computer Science or related field or a Bachelor’s with extensive relevant experience.
• Several years of experience in DataOps, Data Engineering, Data Integration or Data Platform Engineering in pharma/healthcare/life sciences.
• Strong data modeling, integration and end-to-end data management experience.
• Hands-on with cloud data platforms, AWS and modern analytics (Snowflake/Databricks).
• Experience ETL/ELT pipelines, API integrations and data interoperability solutions.
• Strong programming/scripting (Python) and relational databases knowledge.
• Knowledge of containerization/orchestration (Docker/Kubernetes/OpenShift) and GxP-regulated environments.
• Proven project delivery, stakeholder management, communication and teamwork.
• Fluent English.

Responsibilities

• Design and shape globally distributed data models and integration services from concept to production readiness.
• Build and support Clinical Development data platforms and cloud-based data services.
• Enable data acquisition, integration, transformation, analytics and reporting using AWS-based solutions.
• Drive data interoperability and enterprise-wide information exchange across clinical, regulatory and business platforms.
• Implement DataOps, automation and operational excellence to improve quality and scalability.
• Lead data governance, platform strategy and future data management capabilities.
• Collaborate with business, scientific and IT stakeholders to modernize technology landscapes and deliver value.
• Provide technical leadership, mentoring and stakeholder engagement with security and data standards.

Skills

Data modeling

Data integration

Data platform engineering

ETL/ELT pipelines

API integrations

Python

Relational databases

GxP compliance

Data governance

Metadata

Semantic technologies

AWS

Snowflake

Databricks

Docker

Kubernetes

OpenShift

Education

Master’s degree in Computer Science

Data Engineering / Information Systems related degree

Bachelor’s degree with relevant experience

Tools

AWS

Snowflake

Databricks

Docker

Kubernetes

OpenShift

Job description

Senior Data Engineer - Animal Health Clinical Development

The Position

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.

Tasks & responsibilities

• 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.

Requirements

• 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.
• 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.
• Strong expertise in data modeling, data integration, and end-to-end data management processes.
• 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.
• 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.

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.

Ready to contact us?

If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: [phone] or via mail: [e-mail]

Recruitment process:

Step 1: Online application - The job posting is presumably online until October 28th, 2026. We reserve the right to take the posting offline beforehand.
Step 2: Virtual meeting starting in November
Step 3: Panel interviews beginning mid-November

Please include the following documents when applying for this position: CV, references

Please submit your application documents in English.