Junior Data Engineer

Bosch is a multinational engineering and electronics company that produces automotive components and industrial products.

Headquartered in Germany, Bosch is one of the world’s largest suppliers of automotive components. The company also manufactures industrial products such as drives and controls in addition to building products like powers tools and security systems.

Data Pipeline Support: Assist in designing, building, and maintaining entry-level batch and streaming data integration processes (ETL/ELT).

Data Quality & Testing: Help write and execute unit tests, data validation checks, and routine monitoring scripts to ensure data accuracy.

Database & Query Management: Write efficient SQL queries and assist in structuring database tables and data lake storage structures.

Documentation & Maintenance: Document data models, ETL jobs, and workflows; troubleshoot minor pipeline bugs under guidance.

Team Collaboration: Work actively within an Agile/Scrum team, participating in daily stand-ups, sprint planning, and code reviews.

Continuous Learning: Rapidly adopt Bosch engineering tools, best practices, and enterprise data technologies through structured mentorship.

Requirements

Education: Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Technology, Applied Mathematics, or a related field (recently completed or in final stage).; Programming Basics: Solid foundational skills in Python or SQL (academic projects or internship experience included).; Data Fundamentals: Core understanding of relational databases (e.g., PostgreSQL, MySQL) and basic data structures.; Software Tools: Familiarity with version control concepts (e.g., Git, GitHub/GitLab), RPA Tools.; Problem Solving: Strong analytical thinking, willingness to learn new technologies, and attention to detail.; Languages: Business fluent / advanced level of English (written and spoken) to collaborate with international teams.; Preferred Qualifications (Nice to Have); Prior experience as a Student Intern, Working Student, or Co-op in Software Engineering, Data Analytics, or IT.; Basic familiarity with cloud platforms (AWS or Azure) RPA tools knowledge, Power BI and Power apps.; Familiarity with containerization concepts (Docker) or workflow scheduling (e.g., Apache Airflow).