Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Technologien
Deine Rolle im Team
- you will collaborate with business data owners, analysts and data scientists in cross-functional data product teams on the implementation of data-driven solutions
- you will contribute to the implementation of our Azure-based data infrastructure hand in hand with our data/platform architects
- you will build state-of-the-art data pipelines using typical tools like Azure Data Factory and Databricks
- you will connect new (external/internal) data sources to our Azure Data Lake
- you will monitor data pipelines and improve their performance
- you will bring in your own ideas and connect confidently into a dynamic team
Unsere Erwartungen an dich
Ausbildung
- Master's degree in Computer Science or in a related quantitative field
Qualifikationen
- Strong general software engineering skills including DevOps and Git workflows
- Fluent in written and spoken English. German is a plus
- The ability to work in a self-organizing environment and the eagerness to continuously learn round out your profile
Erfahrung
- Relevant work experience (at least 5 years) with the Azure data engineering tech stack or the analogous stack with AWS or GCP
- Experience in Pythonand data science/machine learning related packages
- Working experience with Databricks is preferred
- Experience with relational and NoSQL databases
- Experience with SAP BW is a plus
Benefits
Mehr Netto
Work-Life-Integration
Gesundheit, Fitness & Fun
Job Standorte
Standort Berlin
Deutschland
Das ist dein Arbeitgeber
Ottobock SE & Co. KGaA
Ottobock steht weltweit für qualitativ hochwertige und technologisch fortschrittliche Produkte und Dienstleistungen in der Medizintechnik. Das Ziel, Menschen mit Handicaps Mobililtät zurückzugeben und erhaltene Fähigkeiten zu schützen, ist das übergeordnete Ziel des Unternehmens.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Gesundheitswesen, Soziales, Industrie, Produktion
Data Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
