data engineer
vor 4 Wochen
That's who we are: Working together, growing together, creating new things together: EDAG connects people and the future - here, companies and employees share the same vision. With us you can follow your own career path at a high level, nationally or internationally.
EDAG Production Solutions is an expert in the digitalization and networking of production systems. With horizontal and vertical networking, from ERP to MES to the machines at plant level, we help create customer-specific software and hardware products, intelligent sensors and high-performance smart factory solutions. Become part of our team and accompany our customers on the exciting path of digitalization and networking through the development, integration and commissioning of innovative digitalization solutions.
DATA ENGINEER* / DATA SCIENTIST* DIGITALIZATION IN THE PRODUCTION ENVIRONMENT
This is what you will grow from:
We offer you exciting and diverse projects in the areas of data science and machine learning in a production-related environment
You create, analyze and verify data pipelines and are responsible for their quality
You will contribute your experience in big data architectures and cloud systems
They use common methods in the areas of analytics and machine learning as well as current software development methods to drive the processes forward
This will help us move forward:
Successfully completed university degree in the field of (business) information technology, data analytics or comparable as well as several years of professional experience in agile projects, ideally in production or in a production-related environment
Sound knowledge of object-oriented programming languages such as JAVA, C#, Phyton, R, Kafka or SQL databases
Data science knowledge and application experience of certain techniques from statistics and modeling using large amounts of data as well as representation using visualization software such as Tableau, Power BI, Qlik or similar.
Knowledge in the areas of forecasting, optimization, predictive maintenance, anomaly detection or image and object recognition is desirable
Ideally experience in other technologies such as: Cloud services (AWS and Azure), Kubernetes, Docker, Kafka, HIVE, Hadoop or Kibana, Spark, Jupyter or TensorFlow
Very good knowledge of German and English, both spoken and written
- Gender, age, nationality and religion are not relevant to us – what matters is you.
Benefits:
Further development
Hybrid working*
Ticket Plus card
health Management
Flexible working hours
Employer-funded pension
OTHER BENEFITS
Does that sound like your next challenge?
Then we look forward to receiving your application
CONTACT:
Rebecca Kapfer
If you have any questions, please feel free to contact us by phone at any time. We would like to point out that the email channel is not encrypted. We therefore ask you not to send us any personal data by email.
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