Working Students in Data Engineering (m, w, d) - Synpulse
Why This Role Stands Out
Gain invaluable data engineering experience with exciting projects for international clients, developing essential skills in ETL, data modeling, and automation within a supportive team environment. This hybrid role is perfect for ambitious STEM students eager to grow their careers while enjoying flexible hours and a competitive starting wage of €16 per hour. Apply now to launch your data engineering journey with Synpulse!
Quick Overview
Job Description
Synpulse8 Deutschland GmbH specializes in addressing strategic and operational challenges in the field of customer information management. Our clients are international companies operating in the automotive, finance, and insurance sectors. Our core competencies lie in business intelligence and marketing & CRM, combined with expertise in databases and application development.
To support our team at our Ulm location-right next to Ulm Münster-we are seeking
Working Students in Data Engineering (m, w, d)
to start immediately.
20 hours per week
Job requirements
- Enrolled in a STEM-related degree program or possessing equivalent knowledge of data structures and algorithms
- Hands-on experience with Python and common data processing libraries such as Pandas and PySpark
- First experience with ETL processes and data integration concepts
- Basic understanding of SQL and NoSQL databases
- Strong communication skills in German (minimum B2 level) and English
Job responsibilities
- Development and maintenance of ETL data pipelines
- Data modeling and optimization of SQL databases
- Ensuring data quality through monitoring, testing, and automated validation processes
- Automation of data workflows and processes
- Configuration and parameterization of Apache NiFi for project implementations
Job benefits
- Exciting projects in attractive sectors (automotive, finance, (re)insurance)
- A friendly, informal work environment (no dress code)
- Starting wage of €16.00 per hour, with opportunities for advancement while still working as a student employee
- Flexible working hours and the option to work from home – with one office day per week
- Individual development opportunities with continuous support
- Certifications and training
- Reliable and uncomplicated support for thesis projects and exam preparation periods
- Resume / CV
- Academic transcript
www.synpulse.com
Skills
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