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(Senior) Data engineer - German Speaking(m/w/x)
Designing and implementing data pipelines for client transformation projects using Databricks. Python, SQL, and Databricks expertise required. Profit share scheme, significant work-life flexibility.
Requirements
- Comfort with Big Data, scalable databases, cloud infrastructures, and distributed algorithms
- Passion for sustainable software development and experience in technical roles
- Expertise in Python and SQL, hands-on experience or strong interest in Apache Spark, Airflow, RDBMS & NoSQL Databases, DevOps
- Good understanding of large public cloud environments and experience with Amazon AWS, MS Azure
- Experience working on Data Platform projects using Databricks
- University degree in Computer Science, Mathematics, or similar field
- Fluency in German and English
Tasks
- Design data pipelines and architectures
- Implement and maintain data solutions
- Collaborate with clients to understand data needs
- Access diverse data sources efficiently
- Design, test, and monitor data processing pipelines
- Work with data scientists on machine learning models
- Perform performance and cost estimations
- Develop dashboards to visualize processed data
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Apache Spark
- Airflow
- RDBMS
- NoSQL Databases
- DevOps
- Amazon AWS
- MS Azure
- Databricks
Benefits
Flexible Working
- Flexible working hours
- Work life blend
Bonuses & Incentives
- Profit share scheme
Job Security
- Safe and healthy workplace
Informal Culture
- Global and diverse community
Learning & Development
- Commitment to development
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(Senior) Data engineer - German Speaking(m/w/x)
Designing and implementing data pipelines for client transformation projects using Databricks. Python, SQL, and Databricks expertise required. Profit share scheme, significant work-life flexibility.
Requirements
- Comfort with Big Data, scalable databases, cloud infrastructures, and distributed algorithms
- Passion for sustainable software development and experience in technical roles
- Expertise in Python and SQL, hands-on experience or strong interest in Apache Spark, Airflow, RDBMS & NoSQL Databases, DevOps
- Good understanding of large public cloud environments and experience with Amazon AWS, MS Azure
- Experience working on Data Platform projects using Databricks
- University degree in Computer Science, Mathematics, or similar field
- Fluency in German and English
Tasks
- Design data pipelines and architectures
- Implement and maintain data solutions
- Collaborate with clients to understand data needs
- Access diverse data sources efficiently
- Design, test, and monitor data processing pipelines
- Work with data scientists on machine learning models
- Perform performance and cost estimations
- Develop dashboards to visualize processed data
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Apache Spark
- Airflow
- RDBMS
- NoSQL Databases
- DevOps
- Amazon AWS
- MS Azure
- Databricks
Benefits
Flexible Working
- Flexible working hours
- Work life blend
Bonuses & Incentives
- Profit share scheme
Job Security
- Safe and healthy workplace
Informal Culture
- Global and diverse community
Learning & Development
- Commitment to development
About the Company
Zühlke Engineering AG
Industry
IT
Description
The company is a global transformation partner specializing in tech strategy, business innovation, and digital solutions.
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