Data Engineer / Data Analyst – Python, Airflow, Trino, Spark | 100% Remote

Project overview

Industry: IT

For a data platform in the IT environment, we are looking for an experienced Data Engineer / Data Analyst with a focus on ETL/ELT, Python data analysis, and statistics. 100% remote, starting from 02.11.2026.

Responsibilities

Profile – Required (please document with projects in your CV)

Advantageous

Application

Please complete the following qualification form so we can review your profile for this project:

https://pea-global.com/bewerben?vac=VA_000140

• Implement ETL/ELT processes with MinIO, Apache Airflow, Apache Iceberg, and Trino
• Statistically analyze mass data and statistically validate test results
• Python data analysis (pandas, NumPy, SciPy, Statsmodels, Jupyter)
• Big Data processing with Spark or Flink
• Machine Learning: Anomaly Detection and Feature Engineering
• Visualization (e.g., Apache Superset), build automation with GitLab CI
• University degree in Data Analytics, Mathematics, Statistics, or comparable
• ETL/ELT with Airflow, Iceberg, Trino (Senior approx. 5 years)
• Python data analysis and statistics (approx. 5 years)
• Spark/Flink, PostgreSQL/Oracle/MySQL, GitLab CI/CD (approx. 3 years each)
• German citizenship, residence in Germany
• FastAPI, Django, or Flask
• Apache Superset
• Linux, Containers (Podman, Kubernetes, Kubespray)
• Scrum/Kanban, Code Quality (SonarQube)

Project details

Germany / 100% Remote

from 02.11.2026

Experience Level: Senior

Security Clearance: required – German citizenship is a prerequisite

up to €600/day

• Start: flexible
• Duration: 12 Monate
• Remote: remote
• Location: Berlin, Deutschland, DE
• Rate: 75-75 EUR/h
• Languages: German