Senior Data Engineer (Ingelheim, Germany, Rheinland-Pfalz)
About this opportunity
The Position
At Boehringer Ingelheim, we believe that Data & AI have the power to transform healthcare and improve the lives of millions of patients and animals. As a Senior Data Engineer within our Finance & Group Functions Data & Analytics team, you will help shape the future of Finance data, analytics & AI by driving strategic data initiatives, defining engineering standards, and building scalable data products on modern cloud and AI-enabled platforms.
Working closely with a passionate group of data engineers, SAP experts, analysts, data scientists and business stakeholders, you will create the trusted data foundation that powers innovation, enables smarter decision-making, and delivers measurable business value across Finance and our global organization.
This position has a hybrid setup with at least 2-3 days per week on site.
Tasks & responsibilities
You will design, develop, and enhance scalable data products and pipelines based on SAP and non-SAP data sources and build data models in Snowflake, ensuring the availability and quality of strategically critical data assets in Finance.
Build transformation logic and analytics layers using dbt, including modular data modeling, testing, documentation, and deployment best practices.
Act as a role model for engineering excellence: version control, CI/CD, code reviews, documentation, and mentoring Data Engineers.
In regard to technology evaluation you will stay updated with the latest industry trends and technologies to continuously improve data engineering practices.
Requirements
Master’s degree in Computer Science, Engineering, or a related field and several years of professional experience as a Data Engineer, Software Developer, Data Scientist or in a similar role (or Bachelor’s degree with more relevant professional experience).
Proven proficiency with the Apache ecosystem (Iceberg, Spark, Airflow).
Strong experience with AWS cloud services (Glue, Lambda, StepFunctions) and Python scripting language.
Solid hands-on experience with Snowflake and dbt including data modeling, performance tuning, and secure data access patterns.
Experience with SAP's modern cloud data landscape and/or SAP BW data modelling is considered a strong advantage.
Familiarity with end-to-end Finance processes (e.g. SAP FI/CO), including period-end closing, financial reporting and planning & consolidation processes.
Demonstrated ability to work independently, manage priorities, and proactively drive work forward together with our stakeholders in a dynamic environment.
Excellent communication skills in English (German is a strong plus), enabling clear interaction with technical and non technical stakeholders.
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 8th, 2026. We reserve the right to take the posting offline beforehand.
Step 2: Virtual meeting
Step 3: On-site interviews
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 73 comparable Senior Data & Digital roles across 21 biopharma companies.
Salary context
21 of 73 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 73 comparable roles
+ 4 more countries
Seniority mix
73 of 73 peers have a known seniority level
Therapeutic area mix
1 of 73 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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Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
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.