About the role
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 cutting-edge 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 API-driven frontends. Your tasks will be:
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
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
Willing to work on site at the office at least 2 days a week
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
Long-term prospects: We are growing continuously and offer our working students (m/f/d) long-term 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.
Note: In the application process, we use AI-powered systems and Google Gemini as a data processor (with a data center in Frankfurt).
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