> Markdown version of [/jobs/ext/3063251-data-engineer](https://www.wearedevelopers.com/jobs/ext/3063251-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Boehringer Ingelheim Pharma GmbH & Co. KG - **Location:** Ingelheim am Rhein, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Apache HTTP Server, Code Review, Continuous Integration, Information Engineering, Data Security, Python (Programming Language), Performance Tuning, Cloud Services, SAP (Applications), SAP NetWeaver Business Warehouse, SAP FI/CO, Software Deployment, Snowflake, Apache Spark, Information Technology, Software Version Control - **Published:** September 25, 2026 - **Apply:** https://www.arbeitsagentur.de/jobsuche/jobdetail/20177-44465110-924-S ## About the Role * 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. ## Description * 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. 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