Werkstudentin Data Engineering mwd

At Niologic we are building the leading consultancy for Product Engineering for AI and Location Intelligence in Germany. Combining the megatrends AI and Location Intelligence we want to strive for bringing the cuttingedge into production for our clients and make a difference in their daily lives.

Contrary to current industry trends and backed by the trust of leading brands we want to grow from an extraordinary 15 people team to a dream team of 50 players dedicated to retail and public security.

Tasks

As a working student you will work on modern data products that rely on the latest cloud technology and APIdriven frontends. Your tasks will be:

• Implementation of SQLbased data structures
• Planning and Implementation of data pipelines incl. data quality checks
• Implementation of Infrastructure as Code for underlying components

Requirements

As a motivated team player with commitment and initiative you should also have the following skills to fit into our team:

• Good experience in data engineering using Python and SQL ELT
  (we are not looking for implementations of dask/arrow/pandas)
• 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
• (Nice to have) Experience in data quality checks using frameworks like DBT

Benefits

We offer you the following 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
• Longterm prospects: We are growing continuously and offer our working students (m/f/d) longterm entry prospects

At Niologic we promote a culture of openness and diversity in which everyone can develop their individual talents. We ensure that we treat each other with appreciation and respect and are equally committed to our colleagues and society.