Data Analytics / Data Engineer (Senior) – Python, Airflow, Trino, Spark | 100% Remote

Project overview

Industry: IT Services & Consulting

For a data platform in the IT environment, we are looking for an experienced Data Engineer/Analytics Engineer. 100% remote, starting from 02.11.2026.

Responsibilities

Profile

Required:

Experience:

Advantageous:

Security Requirement

A security clearance is necessary for the project. It will be conducted anew for the project – willingness is sufficient, an existing clearance is not required.

Skills: Python, pandas, Airflow, Trino, Apache Spark, Statistics, SQL, GitLab CI/CD, Apache Iceberg, MinIO, Machine Learning, Apache Superset, Kubernetes

• Implement ETL/ELT processes with MinIO, Airflow, Iceberg, and Trino
• Statistically analyze mass data and secure results
• Python for data analysis (pandas, NumPy, SciPy, Statsmodels, Jupyter)
• Big data processing with Spark or Flink
• ML: Anomaly Detection and Feature Engineering
• Visualization (e.g., Superset), build automation with GitLab CI
• University degree in Data Analytics, Mathematics, Statistics, or similar
• ETL/ELT with Airflow, Iceberg, Trino (approx. 5 years)
• Python data analysis and statistics (approx. 5 years)
• Spark/Flink, PostgreSQL/Oracle/MySQL, GitLab CI/CD (approx. 3 years each)
• FastAPI/Django/Flask, Linux, Containers/Kubernetes advantageous
• Senior level
• German citizenship (security clearance required), residence in Germany
• Professional experience at a senior level
• Apache Iceberg
• MinIO
• Machine Learning
• Apache Superset
• Kubernetes

Project details

Germany / 100% Remote

from November 2026

Experience Level: Senior

Security Clearance: Willingness required

up to €600/day

€600

• Start: 2026-11
• Remote: remote
• Location: Deutschland, DE
• Languages: German