28 days ago
Thailand (city not specified)Senior
Responsibilities
- Design, develop, operate, and maintain robust data pipelines for manufacturing systems data integration platforms.
- Manage AWS-based data stores, data lakes, and data warehouses, including Databricks, for collecting, harmonizing, and provisioning manufacturing data.
- Develop program code and make technology and system decisions for large-scale ETL/ELT process deployment and operation.
- Use GitHub and established version control, DevOps, and documentation practices.
- Design interfaces, perform data transformations using Node-RED or similar technologies, and implement equipment connectivity through technologies such as OPC UA.
- Collaborate with Data Scientists on predictive models, advanced analytics solutions, and AI use cases.
- Serve as an AI Ambassador by promoting responsible, user-focused, and compliant AI adoption in pharmaceutical manufacturing.
- Coordinate with internal functions, platform teams, data science communities, suppliers, technology providers, universities, consultants, and industry partners.
Requirements
- A university degree in Computer Science, Data Engineering, Engineering, Mathematics, Statistics, or a related discipline, combined with practical experience in Data Engineering, Data Analytics, or Software Development.
- Several years of experience building scalable data models, data architectures, and ETL/ELT pipelines for structured and unstructured data from multiple sources.
- Hands-on experience with diverse structured and unstructured data sources and with developing scripts and tools for data processing and integration.
- Strong proficiency in SQL, AWS cloud platforms, structured and unstructured data, and software development.
- Knowledge of distributed systems and agile software development methodologies.
- Ability to collaborate across teams and stakeholders and plan and execute data and AI initiatives in a structured manner.
- Experience defining and managing project plans and ensuring data availability.
- Fluent written and spoken German and English.
Benefits
- Competitive salary of €77,300–€93,800 per year for full-time work plus a variable component.
- Flexible hybrid work models and part-time arrangements where possible.
- Company daycare, childcare support, family-care leave, and summer camps for children.
- Learning and development opportunities, Bayer Learning Academy training, development dialogues, coaching, and mentoring.
- Health and self-care programs including free company-doctor health checks.
- Inclusive and diverse work environment.
- Location: Weimar, Thuringia, Germany.
About Bayer
Bayer is a global life-sciences company that develops and sells prescription pharmaceuticals, consumer health brands (including Aspirin), and agricultural seeds, traits, and crop-protection products, plus digital farming tools, for patients, consumers, and farmers. It is a public company founded in 1863 and headquartered in Leverkusen, Germany. Bayer acquired Monsanto in 2018, making Crop Science one of its three core businesses alongside Pharmaceuticals and Consumer Health.