Senior Data Engineer - Animal Health Clinical Development (Ingelheim, Germany, Rheinland-Pfalz)
About this opportunity
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: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com
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.
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Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 228 comparable Senior Data & Digital roles across 42 biopharma companies.
Salary context
77 of 228 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 228 comparable roles
+ 20 more countries
Seniority mix
228 of 228 peers have a known seniority level
Therapeutic area mix
7 of 228 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.