Data Engineering Intern / Working Student (Robotics)

TL;DR

Data Engineering Intern / Working Student (Python/SQL): Building and maintaining data infrastructure for flight science analytics with an accent on automated ETL/ELT pipelines and data quality. Focus on optimizing data workflows, designing scalable data models, and integrating telemetry datasets to drive autonomous system performance.

Location: Munich, Germany

Company

hirify.global is a defense technology company developing software-defined, mass-scalable autonomous unmanned systems to bolster NATO Allies.

What you will do

• Develop and maintain automated ETL/ELT pipelines to ingest and structure raw flight test and simulation data.
• Optimize data workflows to reduce processing latency and improve engineering analytics access.
• Implement data validation and monitoring processes to identify pipeline failures and anomalies.
• Collaborate with Flight Science engineers to design scalable data models and database schemas.
• Integrate new internal and external data sources, including weather and telemetry datasets.
• Document pipeline architecture and support the scaling of data storage solutions.

Requirements

• Currently pursuing a degree in Computer Science, Information Systems, Data Science or a related technical field (min. 3 completed semesters).
• Strong Python programming skills for data processing and scripting.
• Solid understanding of SQL and relational databases.
• Familiarity with ETL/ELT concepts and data pipeline development.
• Experience using Git or other version control systems.
• Must be based in Munich.
• English: Strong communication skills (B2+) required.

Nice to have

• Experience working with time-series or sensor data.
• Familiarity with workflow orchestration tools such as Apache Airflow or Prefect.
• Basic knowledge of cloud platforms (AWS, Azure, GCP) or Docker.
• Experience with data visualization tools such as Grafana, Tableau, or Streamlit.