You will be part of a team of 35 software engineers working in the Internet of Things and sensor technology space.
Together with your hiring manager: you will transform complex sensor data into robust, scalable, and secure backend architectures.
You will design scalable data platforms and deliver end-to-end analytics solutions.
You will optimize ETL processes and improve data quality through effective data cleansing and enrichment.
You will continuously improve and automate software performance by identifying potential issues and proposing solutions.
You will use Grafana to implement alerting mechanisms to detect data anomalies, monitor data-quality KPIs, and enable data-driven troubleshooting.
You will primarily work with Python, Airflow, Docker, Bash, the Linux command line, C/C++, and Grafana.
You will occasionally support field deployments, collecting sensor data on-site and validating the technology in field trials.

EU citizenship required due to security regulations.
Minimum of 5 years full-time professional experience as a software or systems engineer.
Minimum of 2 years full-time professional experience in data engineering.
Strong proficiency in Python.
Experience with Airflow and Docker.
Experience with Bash scripting and the Linux command line.
Experience in the design, implementation, migration, deployment, observability, and monitoring of production systems.
Experience visualizing metrics, logs, and traces from multiple data sources, e.g., with Grafana, Prometheus, OpenTelemetry, or similar tools.
Fluent in German and English; additional languages are a plus.
Enthusiasm for IoT and the defense sector.
Ideally, initial experience with C/C++.

100% flexible workplace arrangement: Work from the Berlin office or from home.
Flexible working hours: There are some meetings; aside from that you can work when it suits you best.
30 days of vacation.

Senior Data Engineer – Defense Industry

Key skills