Senior Data Engineer - Animal Health Clinical Development (m/w/d)

Boehringer Ingelheim Pharma GmbH & Co. KG; Ingelheim am Rhein; On-site; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Benefits and wellbeing package

Job summary

Boehringer Ingelheim Pharma GmbH & Co. KG in Ingelheim am Rhein seeks a senior Data Engineer / Data Platform Engineer to design and implement cloud-based data services for Clinical Development and Animal Health, enabling scalable data acquisition, integration, analytics and reporting.

You will lead DataOps, governance, and interoperability across clinical, regulatory and business platforms, collaborate with stakeholders, and mentor teams while ensuring compliance with GxP and security standards.

Qualifications

• Requires a master’s degree or equivalent with strong data engineering background.
• Extensive experience with DataOps, data integration, and clinical data platforms.
• Proficient in Python, SQL, data modeling, and cloud analytics solutions.

Responsibilities

• Act as trusted partner to stakeholders, translating needs into scalable data solutions.
• Design, implement, and support cloud-based data platforms across Animal Health.
• Enable data acquisition, integration, transformation, analytics, and reporting.
• Drive data interoperability and governance across clinical, regulatory, and business platforms.
• Lead DataOps practices, mentorship, and ensure enterprise security and compliance.

Skills

DataOps

Data Engineering

Cloud platforms

Python

SQL

Docker/Kubernetes/OpenShift

GxP/compliance

Stakeholder management

English (Fluent)

Education

Master's degree in Computer Science / Data Engineering / Life Sciences Informatics

Bachelor's with relevant experience

Tools

Snowflake

Databricks

AWS

OpenShift

Docker

Kubernetes

Job description

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry's top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Our approximately 54,500 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learnmore atwww.boehringer-ingelheim.com

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.

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent,authenticand bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare.By being part of a team that is constantly innovating,you'llbe helping to transform lives for generations.

Want to learn more? Visithttps://www.boehringer-ingelheim.com