Semantics Engineer for Supply Chain Management (m/f/d)
Job Description
ABOUT US
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. Become part of our team and develop the future with us – in a global team that embraces diversity and equal opportunities.
WHAT YOU CAN EXPECT
Our team “Artificial Intelligence (AI) Solutions for Supply Chains” develops innovative solutions to derive insights from data that support better and faster business decisions. We implement (Generative) AI-driven solutions in its complete lifecycle for users in supply chain management around the world. We are looking for a talented Semantics Engineer for Supply Chain Management. With your expertise we want to build new use cases on our (Gen)AI-driven web application for Supply Chain and Logistics more efficiently.
About the Job: As a Semantics Engineer for Supply Chain Management, you will support scaling new use cases in our AI-driven Web application that enables us to create a new experience in supply chain decision making.
• Drive the development of the Data Excellence (Data Products, Semantic Layer, connection of Ontology Management Framework, Graph Tech Stack, Data Catalog, Data Marketplace, … etc.)
• Ensure seamless integration of Data Excellence components (e.g., OMF with the BASF Data Catalog), collaborating closely with the Product Owners, Solution Architects and data analysts.
• Automate processes and workflows to streamline operations and synchronize data with connected systems.
• Collaborate within the product team to understand supply chain decision making rules, devise new features, and implement solutions that facilitate dynamic data interactions.
• To ensure success as a Data Engineer with focus on semantics, you should have in-depth knowledge of data engineering and relating data to decision making situation of users.
• You will collaborate with global and regional BASF service units and external partners in both project delivery as well as service and support.
• In your role, you support the transition from project phase to successful operations for the new AI-driven Web Application for supply chain decision making.
RESPONSIBILITIES
• 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
• Convey technically difficult concepts in a clear and understandable way, translate business needs to technical specifications, and provide guidance for knowledge graph & ontology development to other teams
• 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
• Manage communication with external vendors to validate the landscape design & integration concept.
QUALIFICATIONS
• Bachelor’s or higher degree in information technology, computer science, natural sciences, or a related field.
• At least 3 years of working experience in data engineering, building (semantic) knowledge graphs, querying (graph) data using standard query languages (SQL, SPARQL), extracting information using Natural Language Processing & GenAI / GPT.
• Experience with Agile software-development using Scrum / Kanban.
• Excellent programming skills in Python, including mastering standard libraries for data engineering, machine learning and data science; knowledge of at least one other programming language (e.g. Java, Vue3, React) is a plus.
• Familiarity with machine actionable languages (e.g., RDF), linked data principles and standards, & OWL-based ontology modelling in commonly used tools.
• Solid understanding of at least one of Graph Analytics, Machine Learning, GenAI.
• Experience with Cloud technologies like Microsoft Azure (e.g., Synapse, Databricks, Purview), CI/CD using e.g., git, docker, Azure Devops.
• An independent (“can-do”), solution-oriented and team-oriented way of working, not afraid to take on responsibility.
• Strong desire to learn & upskill at the intersection of data, science & industry.
• Supply Chain domain knowledge.
• Comfortable working in highly complex environment with multiple stakeholders and with strong pressure to deliver on time and on budget.
• Strong Communication & Presentations skills.
NICE TO HAVE
• Proven track record of successful semantics-oriented projects, preferably in an industrial setting
• Experience in supply chain management / planning
BENEFITS
- A secure work environment because your health, safety and wellbeing is always our top priority.
- Flexible work schedule and Home-office options, so that you can balance your working life and private life.
- Learning and development opportunities
- 23 holiday days per year
- 5 additional days (readjustment)
- 2 cultural days
- A collaborative, trustful and innovative work environment
- Being part of an international team and work in global projects
- Relocation assistance to Madrid provided
- Developing and supporting custom made business intelligence software in a broad range of business topics in an international team
At BASF, the chemistry is right.
Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us – in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.
