Data Engineer

• Designing, developing, and maintaining data pipelines and services with a focus on simplicity, scalability, reliability, and performance.
• Writing high-quality, well-tested code using Python and SQL.
• Building and maintaining data pipelines (ETL/ELT) using tools like Airflow.
• Implementing comprehensive automated testing to ensure the quality and reliability of our data products.
• Collaborating with cross-functional teams to deliver impactful features.
• Participating in the design and architecture of our evolving data platform.
• Troubleshooting and resolving bugs and issues in a timely manner.
• Championing best practices for code and data quality and testing.
• Driving improvements in our development processes using Lean and Agile principles.
• Managing and scaling data products, ensuring they are meeting the evolving needs of the business.

Senior Software/Data Engineer – Climate Team

Working Student – Data Engineering, Prozessautomatisierung

Lead Data Engineer

Manager, IT – Data Engineering

Scientific Data Engineer

Data Engineer