Level
Experienced
Location
Cologne
Working Model
Hybrid, Onsite
Job Field
Data, Back End
Employment Type
Full Time
Contract Type
Permanent employment

Job Summary

In this role, you will develop data architectures and ETL processes, integrate large datasets from various sources, and ensure data quality. You will optimize data pipelines and collaborate closely with business units and Data Scientists.

Job Technologies

Your role in the team

Development and optimization of data architectures, data pipelines, and ETL processes
Building and maintaining databases, data lakes, and cloud platforms
Integration and transformation of large volumes of data from various sources
Close collaboration with data scientists, software developers, and business units
Ensuring data quality, security, and availability
Support in the selection and implementation of new technologies and tools
Documentation and continuous improvement of existing data processes

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Our expectations of you

Education

Completed degree in Computer Science, Data Engineering, Mathematics, or Natural Sciences, or an equivalent qualification.

Qualifications

Knowledge of programming languages such as Python, Java, or Scala
Excellent German and English skills
Analytical thinking and a structured way of working

Experience

Experience with SQL or NoSQL database systems as well as cloud technologies such as AWS, Azure, or GCP.
Ideally, experience with Big Data frameworks such as Spark, Kafka, or Hadoop.

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