Internship in Data Engineering
Jouw taken
- During your internship, you will collaborate with the team to optimize processes and implement data-driven solutions in the eBike NVH team. You will design, build, and maintain robust real-time data pipelines to process sensor data from various sources.
- In addition, you will ensure the integrity and performance of the data pipeline, handling the ingestion, validation, transformation, and storage of data efficiently.
- Furthermore, you will develop and optimize relational database schemas (MySQL) for raw and aggregated data storage.
- You will monitor and troubleshoot pipeline performance, ensuring fault tolerance and automation for high availability.
- Last but not least, you will provide documentation and best practices for scaling and enhancing the pipeline to handle production-level workloads.
Jouw profiel - Education: studies in the field of Computer Science, Data Engineering, Electrical Engineering or a comparable technical discipline
- Experience and Knowledge: proficiency in Python and MySQL; strong experience with ETL processes, real-time data ingestion, and processing frameworks; familiarity with sensor data processing, including validation, transformation, and aggregation techniques; experience with database optimization, schema design, and handling large-scale data
- Personality and Working Practice: you have excellent problem-solving skills with a focus on scalable and maintainable solutions; you are able to communicate and collaborate effectively; you work in a structured and autonomous manner, paired with initiative and adaptability
- Enthusiasm: a strong interest in IT and data-driven problem-solving, along with a passion for implementing innovative solutions in real-time data engineering
- Languages: fluent in German and/or English
- Education: studies in the field of Computer Science, Data Engineering, Electrical Engineering or a comparable technical discipline
- Experience and Knowledge: proficiency in Python and MySQL; strong experience with ETL processes, real-time data ingestion, and processing frameworks; familiarity with sensor data processing, including validation, transformation, and aggregation techniques; experience with database optimization, schema design, and handling large-scale data
- Personality and Working Practice: you have excellent problem-solving skills with a focus on scalable and maintainable solutions; you are able to communicate and collaborate effectively; you work in a structured and autonomous manner, paired with initiative and adaptability
- Enthusiasm: a strong interest in IT and data-driven problem-solving, along with a passion for implementing innovative solutions in real-time data engineering
- Languages: fluent in German and/or English
Contact en aanvullende informatie
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Thomas Alber (Functional Department)
+49 152 594 32429
Over ons
Wij bieden video's aan via YouTube. Om deze video's te kunnen tonen, moet u eerst toestemming geven. Als u toestemming geeft, worden gegevens overgedragen naar YouTube, worden cookies gebruikt en wordt contact opgenomen met het Google DoubleClick-advertentienetwerk. Dit kan verdere gegevensverwerkingsoperaties activeren. Het is niet uitgesloten dat gegevens ook worden overgedragen naar landen buiten de Europese Economische Ruimte
