Python teacher (German language)

This is a remote position.

We, IT Career Hub, are a leading EdTech company dedicated to the development and training of IT professionals.

IT Career Hub's mission is to train adults to work in IT.

IT Career Hub's training programs are AZAV certified and designed to be flexible to the needs of adult students, providing the opportunity to learn regardless of work experience and previously acquired knowledge and skills.

What is important for us:

• Ideal spoken and written proficiency in German.
• Understanding of the basic principles of data analysis and the use of Python and SQL for data processing and extraction;
• Experience working with databases and writing efficient SQL queries to retrieve data;
• Advanced knowledge of SQL and NoSQL, MongoDB (nested queries, window functions, CTE);
• Knowledge of PostgreSQL, MySQL, ClickHouse;
• Knowledge of other data analytics tools and libraries such as Jupyter Notebook, scikit-learn, and others.
• Knowledge of popular Python libraries for data analysis such as Pandas, NumPy and Matplotlib.
• Teaching or mentoring experience. Excellent communication and presentation skills to explain complex concepts and technical terms in a clear and understandable manner.

Requirements

Responsibilities

• Teaching the Python and SQL module as a part of the “Data Analytics” course, schedule: from 9:30 to 12:45/14:30 (CET timezone).
• Lessons are conducted in German language, in groups of 10-20 people;
• Testing students and evaluating their tests;
• Checking homework;
• Participation in school events (master classes, open lessons, etc.);
• Maintaining the relevance of the course together with the educational department;

Benefits

What we offer:

• Remote work from all over the world;
• Hourly payment in Euro;
• Part-time (workload depends on your capabilities);
• Work at an international IT team. Your future colleagues are programmers from leading European and global IT companies;
• Upgrading your personal brand. You will be able to conduct online events, train specialists, and prove yourself as an expert;
• PR on social networks - participation in webinars, hackathons, live broadcasts on Instagram, YouTube, TikTok, etc.;
• Career growth - the opportunity to become a dean and head the Data Analyst faculty;