Data Engineer and Business Analyst SCM
hace 6 días
Job Description:
At BASF Digital Hub Madrid, we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF's position as the digital leader in the chemical industry. We believe the right path is through creativity, trial and error, and great people working and learning together.
Responsibilities:
- Work in close alignment with the other project team members and stakeholders to fully understand background and business requirements of each party and consult them in their activities.
- Translate the collected business requirements into technical concepts, especially regarding data engineering, data products, and data architecture frameworks.
- Drive the sustainable implementation of our new GenAI-oriented Supply Chain Intelligence platform, including data integration for various Supply Chain AI solutions, utilizing enterprise data product concepts, data science related aspects, and GenAI functionalities.
- Create product requirement documents and maintain them in an agile working mode.
- Work in an international and agile DevOps environment and apply agile principles for setting priorities and managing multiple stakeholders in a challenging business environment.
- Share your knowledge and expertise with colleagues and promote a culture of AI-driven innovation within the organization.
- Manage communication with external vendors to validate the landscape design & integration concept.
Qualifications:
- Education: A bachelor or master's in information technology, software engineering, Computer Science, Data Science or other data-centric disciplines.
- Work experience: 4+ years professional implementation experience in data engineering / data science.
- Technical and professional knowledge: At least 3 years of data engineering / data science experience with utilizing Microsoft Azure cloud components for ML and Data Science, developing data pipelines, hands-on experience working with large data sets, relational databases, data integration and related technologies, and expert knowledge of Python with focus on machine learning and data science related libraries.
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