Extracurricular Internship: Agile Moderator & Data Engineering (f/m/div.)

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people's lives and to work towards a more sustainable future.

In the city of Aveiro, Bosch has one of its biggest production sites for Bosch Home Comfort division, as well as a Research and Development Center for new and improved heating solutions for the residential segment. With more than 1400 employees, focused on innovation, sustainability and collaboration, Bosch Aveiro joins together experts in diverse areas, from mechanical engineering to connectivity and software solutions, as well as industrialization and quality.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

Your contribution to something big

• Facilitate and moderate agile ceremonies, including daily meetings, sprint reviews and retrospectives, ensuring effective team collaboration;
• Contribute to the development and maintenance of data pipelines, ensuring data quality, reliability, and availability;
• Support the design and optimization of data models to enable efficient analysis, reporting, and AI-driven use cases;
• Explore and evaluate new cloud technologies and digital solutions, contributing to the continuous improvement of the team's tools and processes.

Qualifications

What distinguishes you: 

• Master's degree or PhD student in Computer Science, Data Engineering, Software Engineering, Information Systems or a related field;
• Previous academic or project experience in data engineering, cloud technologies or software development is a plus;
• Knowledge of Python, SQL, Spark and data modelling; familiarity with Databricks, Azure Synapse, Azure Data Factory, Azure Purview or similar technologies;
• Fluent in English and comfortable working in an international environment;
• Understanding of agile methodologies and an interest in applying DevOps principles in a collaborative development environment;
• Strong communication skills, proactive mindset and eagerness to learn new technologies and AI solutions.