Working Student Data Engineer – Python, SQL, Cloud Platforms

This is a fully remote position, open to applicants in Germany.

📋 Description

• Create Python and SQL pipelines to collect and transform data from APIs, databases, files, or event sources.

• Design data models and dbt transformations, including definitions, tests, and documentation.

• Execute incremental processing, schema validations, and reconciliation tasks.

• Set up orchestration and monitoring systems.

• Analyze failed executions and enhance recovery and troubleshooting processes.

• Contribute to the components of the cloud data platform, including infrastructure setup and deployment workflows.

• Utilize Git, pull requests, and code reviews to implement sustainable changes.

• Clarify the implications of changes for downstream users.

• Take ownership of specified components in data engineering projects, from source-system analysis to validated transformations and monitoring.

⛳️ Requirements

• Currently enrolled in a university program related to computer science, data science, business informatics, or a similar technical field.

• Proficient in SQL and practical experience with Python.

• Background in constructing and managing pipelines or data models for real users or team processes.

• Solid grasp of data modeling, incremental loading, data quality, and the operational characteristics of scheduled pipelines.

• Familiarity with version control and testing methodologies.

• Hands-on experience with a cloud platform, data warehouse, or orchestration tool.

• Capable of taking ownership of a well-defined deliverable, systematically addressing issues, and communicating effectively in English.

• Experience with dbt, Airflow, Dagster, AWS, Snowflake, Databricks, BigQuery, Apache Iceberg, or Terraform is advantageous.

🏝️ Benefits

• Flexible part-time schedule designed to accommodate academic commitments.

• 20 days of annual vacation.

• 20 hours of work per week.

• Comprehensive code review process.

• Direct collaboration with seasoned engineers and company founders.

• 3-month probationary period.