You will support the collection and analysis of customer requirements
You will assist in designing and developing database structures, data models, and data pipelines
You will work on automating and maintaining workflows to ensure our data and processes remain stable and error-free
You will help connect and clean various data sources such as APIs, flat files, and databases
You will be actively involved in collaborating with team members and will learn agile project methods such as prototyping, MVPs, and sprints

Requirements

You are currently enrolled in a STEM or business-related degree program or have a comparable qualification
You have already gained some practical experience (e.g., through internships or projects) in data engineering or related areas
You have a solid understanding of databases, data modeling, and processes such as ETL/ELT and workflow automation
You are proficient in at least one programming language (e.g., Python)
Bonus: You are interested in technologies such as Big Data (Spark, Hadoop), Databricks, or cloud services (AWS, GCP, Azure) as well as data visualization
Initial experience with agile methods (e.g., Scrum or Kanban) is an advantage
You are analytical, organized, reliable, and have a strong willingness to learn.

Benefits

Varied tasks in a dynamic, international environment
Scope to contribute: your ideas and solutions are valued
A company culture that promotes collaboration and personal responsibility
Work with the latest technologies and innovative tools
Secure position in a future-oriented industry with attractive compensation
Modern office with high-quality equipment for a comfortable workday and additional top-tier hardware such as premium laptops and smartphones (depending on role)
Flexible work–life balance through remote work options
Attractive benefits including training opportunities, team events, discounts, free coffee & soft drinks on-site, and much more...

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingETLELTworkflow automationPythonBig DataSparkHadoopDatabricksdata visualization

Soft Skills

analyticalorganizedreliablewillingness to learncollaboration