Job
- Level
- Senior
- Ort
- Ingelheim am Rhein
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du skalierbare Datenprodukte und -pipelines mit SAP- und Nicht-SAP-Daten, arbeitest mit Snowflake und dbt, und optimierst Datenmodelle für datengetriebenes Management in der Finanzabteilung.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- 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).
Qualifikationen
- Proven proficiency with the Apache ecosystem (Iceberg, Spark, Airflow).
- 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.
Erfahrung
- 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.
Unser Angebot
- This position has a hybrid setup with at least 2-3 days per week on site.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Boehringer Ingelheim
Boehringer Ingelheim ist ein Pharmaunternehmen, das sich seit mehr als 130 Jahren der Erforschung, Entwicklung und Produktion von Medikamenten mit hohem therapeutischen Nutzen für Menschen und Tiere widmet. Als Familienunternehmen planen wir langfristig und investieren daher besonders in die Forschung und Entwicklung. So können wir uns einigen der größten Gesundheitsprobleme unserer Zeit widmen. Unsere Vision „Werte schaffen durch Innovation“ hat unsere Zusammenarbeit seit jeher geprägt und ist sowohl für uns Anspruch als auch Antrieb.
Description
- Gründungsjahr
- 1885
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech
