Position: Data Engineer Data & AI

The successful candidate will develop, integrate, and maintain data solutions for digital products, data platforms, and AI applications across the company and within the R&D environment.

They will ensure that process, equipment, product, and business data can be used in a structured, quality-assured, and production-ready manner. In doing so, they will make a significant contribution to building a scalable Data & AI foundation and delivering data-driven R&D products and internal AI applications.

Technical and Project Responsibilities:

- Independently develop and maintain data pipelines, data models, and interfaces for digital products and AI use cases

- Integrate data from internal and external sources, particularly process, equipment, automation, laboratory, and business systems

- Prepare and transform data for analytics, machine learning, reporting, and AI applications

- Contribute to the development of standardized data products, data architectures, and reusable Data & AI patterns

- Ensure the traceability, documentation, and technical maintainability of the data solutions within your area of responsibility

- Support the evaluation of new AI and data use cases from a software engineering and technical feasibility perspective

- Collaborate with software development, cloud and platform engineering, data science, process engineering, domain experts, and IT teams

Technical Requirements:

- Strong knowledge of building data pipelines, data models, and ETL/ELT processes

- Strong proficiency in SQL, PySpark/Spark, and Python, as well as experience with MLflow and data-driven analytics and development tools

- Experience with databases, APIs, interfaces, data formats, and data integration

- Basic understanding of modern cloud, container, and Kubernetes-based platforms

- Knowledge of data quality, data validation, technical documentation, and monitoring

- Ability to translate business and technical requirements into structured, scalable, and maintainable data solutions

- Desirable: Experience with Azure, Stackable, data lake or lakehouse architectures, Kafka, MQTT, Airflow, dbt, or comparable technologies

Personal and Interpersonal Skills:

- Willingness and ability to learn and become proficient in new technologies

- Analytical and structured approach to work

- Initiative and a strong sense of responsibility

- Ability to identify opportunities for innovation and optimization

- Strong teamwork and collaboration skills in interdisciplinary and international environments

- Excellent written and spoken English, with the ability to communicate effectively with colleagues and stakeholders in Germany

- German language skills are an advantage but not required

- Clear communication tailored to different audiences

- Reliability, pragmatism, and a strong commitment to quality

Education & Experience Requirements:

- Bachelors degree in computer, Information Systems or related specialization in IT

- 5 to 8 years of relevant experience.