BASF Data Engineer in Data Science for Materials (m/f/d) in Ludwigshafen, Germany
Job Field : Research & Development
Location : Ludwigshafen,DEU
Company : BASF Digital Solutions GmbH
Job ID : EN59009578ONLE4
Do you have questions about the application process or the position? Mrs. Thräner (Talent Acquisition) Phone no.: +49 (0)30 2005 59929
Please note that we do not return paper applications including folders. Please submit copies only and no original documents.
BASF Digital Solutions GmbH offers innovative solutions for the design and optimization of business processes for the BASF Group around the world. As an experienced business solution provider, we create added value for BASF by developing new business models with digital technologies, thereby increasing the efficiency and effectiveness of processes through IT and digital solutions. Learn more about BASF Digital Solutions GmbH at on.basf.com/BusinessServicesEN
Digitalization is a key differentiator to position BASF as leading chemical company for our customers. We as Global Digital Services enable BASF's digitalization. In agile teams, we develop innovative digital solutions for BASF and its customers, create new exciting customer experiences and business growth, and drive efficiencies in processes. We provide IT that works and offer know-how and access to latest technologies in the areas of cloud computing or big data.
What you can expect
Join the Data Science community within BASF and shape the future of digitalization in Research and Development, the home of our supercomputer Quriosity.
As a Data Engineer in the group Data Science for Materials you will integrate data and build automation pipelines from laboratories performing polymer synthesis, chemical analytics, application testing, as well as quality control in production.
You will work in an agile team providing scientific advice and digital solutions to our partners in R&D as well as selected close customers.
You will collaborate with our partners in Materials R&D and Business units to understand and find solutions to their challenges.
In an international and interdisciplinary DevOps team you will co-develop and implement new data integration solutions.
Furthermore, you will lead certain knowledge areas, representing the team and ensuring continuous learning of the organization.
What we expect
degree in computer science or similar studies (with a PhD or comparable qualification)
5 years industrial experience in data management (real-world data) as well as software development (git, CI/CD, containerization, cloud platforms like Azure, APIs)
advanced experience in developing data models, ETL pipelines, working with relational databases and/or NoSQL databases
good working knowledge of Python as applied to data science and web APIs (REST, GraphQL, etc.)
while being self-motivated and independent, you prefer working in a team
working experience with agile methods is advantageous
Development discussions and programs so that you can reach your full potential.
A secure work environment because your health, safety and wellbeing is always our top priority.
Your contribution to a sustainable future because sustainability lies at the heart of everything we do and is a driver of growth.