Job Description
Over 1,000 sharp minds, about 60 nationalities, one goal: accelerating the world's transition to responsible manufacturing. Our proven technology, industrial 3D printing, has been extending the boundaries of manufacturing for over 30 years. We work globally networked and prefer to think outside the box – and we're looking for people who want to shape the future with us.
EOS welcomes individuals from all backgrounds, ensuring equal opportunities without regard to race, color, religion, national origin, gender identity, expression, sexual orientation, age, or disability. At EOS, equity and inclusion are fundamental principles, and we believe in creating a work environment that is built on empathy, respect, and fairness. We are ALL IN.
We, EOS – world market leader for industrial 3D printing, are looking for you to support our Data Intelligence Team in Krailling (flexible hybrid working model possible).
TECHNOLOGY is what unites us. MEANINGFUL are our daily actions. INDEPENDENT is what we remain. We believe we can help create a better world for everyone – this is what EOS stands for.
- You build, optimize, and maintain scalable data infrastructure in Azure Databricks, including ingestion pipelines, unity catalog, and governance frameworks to enable the development of AI and analytics use cases.
- You ensure data quality, governance, compliance (GDPR), and security while promoting best practices within the team and in our broader organization.
- With your expertise in Python, R and SQL, you contribute to the data warehouse architecture by writing code to clean and check incoming raw data.
- You also build and maintain the infrastructure in Azure to support general data gathering and storage and automate the transfer of data between resources.
- Proactively, you explore emerging technologies to expand EOS's data and AI capabilities.
- Degree in Engineering, Computer Science, Informatics, or similar
- Several years of professional experience with Azure, Databricks, data engineering, and modern cloud data ecosystems
- Demonstrable expertise in Python and SQL as well as in data governance and cloud-based security
- Knowledgeable in designing and maintaining data infrastructure for analytics and AI
- Understanding of business intelligence tools (Power BI or similar) and of MLOps and AI deployment including ingestion, model training, deployment and monitoring
- Fluent in English; German is a strong asset
- Flexible working time models, 30 days of vacation
- Travel allowance for public transport, job bike, parking spaces, charging facilities for electric vehicles
- Childcare allowance
- Possibility of personal timeout
- Health offerings
- Company restaurant
- Reimbursement of relocation expenses
- Targeted further education opportunities
- Corporate Benefits for employees