Hybrid Working Student – Data Engineering, Process Automation

Posted last week

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About the role

  • Maintain and further develop existing Airflow DAGs (workflows).
  • Design new automated processes from concept through implementation.
  • Contribute to data modeling and the integration of new data sources and databases.
  • Produce structured documentation of interfaces and functional tests.
  • Support monitoring, logging and troubleshooting of running tasks and processes.

Requirements

  • Enrolled student in (business) Computer Science, Software Engineering, or a comparable degree program.
  • Proficiency in Python.
  • Initial experience with REST APIs.
  • Experience with relational databases such as MSSQL, MariaDB, or PostgreSQL.
  • Basic experience with Docker, confident use of Linux environments, and Git knowledge are helpful but not required.

Benefits

  • Flexible working hours.
  • Company fitness program offering low-cost training nationwide at 1,000 studios and sports facilities.
  • Leisure activities and discounts for online shopping.
  • Support in balancing studies and work.
  • Regular team events such as summer parties, Christmas parties, and sporting activities.
  • Option to bring your dog to the office.

Job title

Working Student – Data Engineering, Process Automation

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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