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Working Student – Data Engineering
datavent.io. Build Python and SQL pipelines that ingest, transform, and validate data from APIs, databases, and files .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in building Python and SQL data pipelines, developing data models for analytics and AI applications, and implementing data quality checks. Strong collaboration skills demonstrated through experience with Git and cloud data platforms.
Highest-signal resume keywords
Python ExpertiseSQL Pipeline DevelopmentAWS FamiliarityData Quality ChecksGit Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData PipelinesData ModelsDebuggingData TransformationsAutomated TestingMonitoringData ValidationTroubleshooting
Soft Skills
Good English CommunicationThoughtful Approach
Tools & Technologies
AWSDbtAirflowDockerSnowflakeDatabricksApache Iceberg
Industry Keywords
Data ScienceBusiness InformaticsMathematicsCloud Data PlatformsLakehouse Projects
Tech Stack
Tools & technologiesAirflowApacheAWSCloudDockerPythonSQL
About the role
Key responsibilities & impact- Build Python and SQL pipelines that ingest, transform, and validate data from APIs, databases, and files
- Develop data models and transformations for analytics and AI applications
- Add data quality checks, automated tests, and monitoring
- Investigate pipeline failures and improve logging and troubleshooting
- Contribute to cloud data platforms and lakehouse projects
- Document work and collaborate through Git, pull requests, and code reviews
- Take ownership of real tasks from day one
Requirements
What you’ll need- Current enrollment in computer science, data science, business informatics, mathematics, or a related degree
- Hands-on practical expertise in Python, databases, and data pipelines
- Thoughtful approach to debugging and willingness to ask questions
- Good English communication skills
- Familiarity with AWS, dbt, Airflow, Docker, Snowflake, Databricks, and Apache Iceberg
- 15–20 hours per week availability
- CV, field of study, expected graduation date, and weekly availability required with application
Benefits
Comp & perks- 20 days of annual leave
- Remote work within Germany, with hours coordinated around your studies
- Exposure to modern cloud platforms, data architecture, and the foundations of production AI
- Small team where you can contribute ideas and understand the impact of your work