Senior Data Engineer - Animal Health Clinical Development

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., * 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.

• 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.