Responsibilities
- Implementation of SQL-based data structures
- Planning and Implementation of data pipelines incl. data quality checks
- Implementation of Infrastructure as Code for underlying components
Requirements
- Good experience in data engineering using Python and SQL ELT
- Good experience in datawarehouse concepts
- Ability to craft ERD and BPNM and communicate ideas and plans to the team in a clean and structured manner
- Good language skills in German and English which allow you to understand the underlying data
- Willing to work on site at the office at least 2 days a week
Nice to Have
- Experience in data quality checks using frameworks like DBT
Benefits
- Latest hardware: MacBook Air, 27″ monitor
- Support from Women in Tech and Women Techmakers
- Monthly voucher for the gym or sports club
- Learning organisation - free training courses from Coursera and our own specialist library as well as external training courses
- Flexible working hours: We offer you flexible working hours that can be easily combined with your studies
- Long-term prospects: We are growing continuously and offer our working students (m/f/d) long-term entry prospects
Work Arrangement
On-site
Team
Team size: 15 people team growing to 50. Structure: team dedicated to retail and public security
Additional Information
- Flexible working hours
- Must be willing to work on site at least 2 days a week
- Good language skills in German and English
- Latest hardware provided: MacBook Air, 27″ monitor
- AI-powered systems used in application process with Google Gemini as data processor (data center in Frankfurt)
