Job
- Level
- Senior
- Location
- Ingelheim am Rhein
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop scalable data products and pipelines using SAP and non-SAP data, work with Snowflake and dbt, and optimize data models for data-driven management in the Finance department.
Job Technologies
Your role in the team
- 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.
- 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.
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Our expectations of you
Education
- 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).
Qualifications
- Proven proficiency with the Apache ecosystem (Iceberg, Spark, Airflow).
- Vertrautheit mit End-to-End-Finanzprozessen (z. B. SAP FI/CO), einschließlich Periodenabschluss, Finanzberichterstattung sowie Planung & Konsolidierungsprozesse.
- 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.
Experience
- Starke Erfahrung mit AWS Cloud-Diensten (Glue, Lambda, StepFunctions) und der Python-Skriptsprache.
- 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.
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What we offer
- This position has a hybrid setup with at least 2-3 days per week on site.
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Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Boehringer Ingelheim
For over 130 years, Boehringer Ingelheim has been probing, creating and producing novel medications with high therapeutic advantages for people as well as animals. As a family-run pharmaceutical enterprise we plan long-term and consequently invest heavily in research & development. We take great pride in tackling some of the biggest health issues our world faces today. Our vision “Creating Values through Innovation” has always shaped our collaboration while serving both as requirement and momentum at once.
Description
- Founding Year
- 1885
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Senior Data Engineer
- Location
- Ingelheim am Rhein
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
