Senior Data Engineer (Analytics)

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Job Summary

Job Type


Years of Experience
At least 7 years

Tech Stacks
Python Pandas Analytics AWS CDK AWS

Job Description

  • Creating, analyzing, maintaining and troubleshooting data pipelines
  • Collecting and storing data from various sources, ensuring its accuracy and integrity
  • Developing methods and tools to improve data quality, efficiency and reliability
  • Implementing projects with end-to-end responsibility
  • Communication with customers as well as internal and external stakeholders

Technical Expertise
  • At least 7++ years of experience as a Data Engineer
  • Strong experience with Python as a programming language for data pipelines and related tools (e.g. Pandas)
  • In-depth knowledge of AWS infrastructure and tools for creating serverless data pipelines, mainly for batch processing
  • Preferably certification (Solutions Architect / Data Analytics) / required if experience is too limited
  • Experience with IaaS tools, preferably AWS CDK or Serverless Framework
  • Good communication skills 
  • Preferably experience in the independent automotive aftermarket 

Job Qualification
Methodological And Personal Skills
  • Willing to learn and extend capabilities
  • Decision-making capability
  • Good teamworking and communication skills, willing to share knowledge and enable other team members
  • Intercultural openness
  • Business fluent in English, German language is a bonus

Our Benefits
๐Ÿ’ช Our fixed base salary is paid within 13 salaries and as extra, you have a 3% variable that is based on company performance
๐Ÿง‘โ€โš•๏ธPrivate health insurance (incl. up to 2 family members)
๐Ÿ›ก๏ธ Full coverage of social insurance (incl. probation period)
๐Ÿ Free lunch while working in the office
๐Ÿ– Vacation: 15 days a year
โš–๏ธ Flexible hybrid work policy
๐Ÿ—บ๏ธ Great team events
๐ŸŽ Gifts for holidays

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