Data Engineer

• 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., With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you’ll be helping to transform lives for generations.

• 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.

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry’s top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Our approximately 54,500 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learn more at www.boehringer-ingelheim.com