Data Engineer for Supply Chains

Digital Hub Kuala Lumpur attracts, inspire and develop diverse talents who will elevate BASF’s digital journey.

As one of the world’s largest chemical companies, BASF is on a mission to create chemistry with a sustainable future. The Digital Hub Kuala Lumpur, alongside four other Digital Hubs across the globe are part of the technology powerhouse driving our vision. Join our organization and make an impact in an inclusive and diverse work environment. We value individual differences and provide opportunities for you to contribute your unique perspective towards our collective goals.

Responsibilities and Key Outcomes 

• Work in a team with experienced data scientists, data & software engineers & product owners and create scalable, reusable and performant data-driven applications running in productive environments
• Translate the collected business requirements into technical concepts, especially regarding the 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, semantic and ontology concepts,
  • GenAI functionalities.
• Create product requirement documents and maintain it in an agile working mode, e. g. in Azure DevOps boards and tasks.
• 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 promoting a culture of data-driven innovation within the organization

Job Requirements 

Education and work experience

• A bachelor or master's in information technology, software engineering, Computer Science, Data Science or other data-centric disciplines
• Working experience at least 2 years professional implementation experience in data engineering /data science / supply chain analytics
• Familiar with agile development processes
• Actively communicate with teams and solving problems

Technical & Professional Knowledge (mandatory)

• At least 2 years of data engineering / data science experience
• scoping data-driven solution and creating a roadmap for functions.
• utilizing Microsoft Azure cloud components for ML and Data Science, eg. Databrick, Azure Data Factory
• Developing data pipelines.
• Hand-on experience working with large data sets, relational databases, data integration and related technologies (SQL, Databricks, Kafka, etc)
• Expert knowledge of Python with focus on machine learning and data science related libraries (e.g, Pandas, scikit-learn, TensorFlow, PyTorch etc.) 
• Familiarity with object-oriented programming is a plus.
• Experience with software deveelopment, preferably for cloud-based applocation in an agile setup (e.g, Kanban, Scrum)
• Comfortable working in highly complex environment with multiple stakeholders and with strong pressure to deliver on time and on budget.
• A growth mindset with a curiosity to learn and improve.
• Team player with strong interpersonal, written, and verbal communication skills.

At BASF, we create chemistry for a sustainable future. We combine economic success with environmental protection and social responsibility. Around 112,000 employees in the BASF Group contribute to the success of our customers in nearly all sectors and almost every country in the world. Our portfolio comprises six segments: Chemicals, Materials, Industrial Solutions, Surface Technologies, Nutrition & Care and Agricultural Solutions. BASF generated sales of €68.9 billion in 2023.

BASF is committed to empowering its employees to pursue their interests and explore emerging technologies. By investing in top-quality tools and promoting cross-functional collaboration, we encourage our team members to drive positive change within our organization. Come join us and be a part of our digitalization journey. 

Further Information at https://go.basf.net/careers_digitalhubkl