AI Data Engineer and Business Analyst SCM (m/f/d)

BASF

Software Engineering, IT, Data Science

Madrid, Spain

Posted on Jul 8, 2024

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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.

JOIN THE TEAM

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.

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 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 concepts
- Data science related aspects
- GenAI functionalities, especially high-performance of the application
You can 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 you apply agile principles for setting priorities and managing multiple stakeholders in a challenging business environment.
Sharing your knowledge and expertise with colleagues and promoting 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: Working Experience: 4+ years professional implementation experience in data engineering / data science.
Technical and professional knowledge (Must have):
At least 3 years of data engineering / data science experience with
- Utilizing Microsoft Azure cloud components for ML and Data Science, e. g. Databricks, 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.

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

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.

Apply now

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