Python / Automation Developer Intern (Part-time)

• Develop and maintain Python-based backend components for data science, automation, integration, and digitalization tasks.
• Build and enhance internal tools, scripts, and micro services used across business and IT teams.
• Work with PostgreSQL databases: querying, data modeling support, and basic performance tuning.
• Deploy and operate scripts on Linux server environments, including scheduling through cron jobs.
• Build and support automations using tools like Power Automate, n8n, or similar orchestrators.
• Work with webhooks, REST APIs, and integration endpoints to connect internal systems and external services.
• Use Git for version control, branching, code reviews, and collaborative development.
• Support senior engineers with backend development, automation improvements, and data processing tasks.
• Take ownership of small development or automation modules as you grow.
• Continuously learn new technologies and engineering practices.

• Master’s student in IT, Computer Science, Software Engineering, or a similar field.
• Strong foundation in Python programming (backend scripting, automation, API development, or data handling).
• Interest in backend development with an appetite to write clean, scalable, maintainable code.
• Analytical mindset, structured problem solving, and eagerness to learn.
• Ability to communicate clearly and collaborate within a team.
• English at a working proficiency level.

Curiosity or basic understanding of:

• Linux servers, command line operations, cron scheduling
• PostgreSQL or relational databases
• Webhooks, APIs, and integration concepts
• Git and version control workflows
• Automation tools (Power Automate, n8n, etc.)

Nice to Have

• Deeper experience with SQL (joins, optimization, stored procedures).
• Familiarity with Python frameworks such as FastAPI, Flask, or Django.
• Experience with automation or workflow tools (Power Automate, n8n, Blue Prism, Airflow).
• Understanding of CI/CD, Docker, or cloud basics.
• Exposure to data pipelines or exploratory data analysis.

• Support from an experienced local onsite buddy ready to help you grow technically and professionally.
• Hands on experience with backend development, automation, scripting, and real enterprise environments.
• Access to modern engineering tools: Python, Git, PostgreSQL, Linux, and automation platforms.
• Flexible work style suitable for students.
• Long term collaboration opportunity with a clear path toward a full time junior position after graduation (Python Developer, Data Engineer, or Data Scientist).
• If you're passionate about Python, automation, and building backend solutions and want real world experience that will shape your future career, we’d love to hear from you!