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Data Engineer (d/f/m) IoT Munich

Roles & Responsibilities

  • EU citizenship is required due to security regulations.
  • Minimum 5 years full-time experience as a software or systems engineer, including at least 2 years in data engineering.
  • Fluent in Python; proficient with Airflow and Docker; and comfortable with Bash scripting and Linux command line.
  • Experience designing, deploying, and observing production systems with metrics/logs/traces visualization using Grafana, Prometheus, OpenTelemetry, or similar.

Requirements:

  • Convert complex sensor data into robust, scalable, and secure backend architectures.
  • Architect scalable data platforms and deliver end-to-end analytical solutions.
  • Optimize ETL processes and improve data quality through effective data cleansing and enrichment techniques.
  • Use Grafana to implement alerting mechanisms to detect data anomalies, track data quality KPIs, and enable data-driven troubleshooting.

Job description

Benefits:

  • Opportunity to use top-notch technology.

  • Be part of a group of tech sassy engineers.

  • Join the next unicorn in defense, that develop one of the first multinational drone early-warning systems.

  • Multinational, pragmatic and hands-on team with a strong focus on innovation.

  • 100% free workplace policy: Come to the office in Munich or work from home.

  • Flexible working hours: There are some meetings but apart from this, work whenever is best for you.

  • 30 days vacation.

  • Health insurance package.

  • Sports club membership.

Responsibilities:

You join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. Partnering with your hiring manager, you:

  • Convert complex sensor data into robust, scalable, and secure backend architectures.

  • Architect scalable data platforms and deliver end-to-end analytical solutions.

  • Optimize ETL processes and improve data quality through effective data cleansing and enrichment techniques.

  • Improve and automate consistently the software performance by spotting potential problems and suggest solutions.

  • Use Grafana to implement alerting mechanisms to detect data anomalies, track data quality KPIs, and enable data-driven troubleshooting.

  • Mainly work with Python, Airflow, Docker, Bash, Linux Command Line, C/C++, Grafana.

  • Sometimes you support field operations across Germany by acquiring sensor data on site and validating the technology through controlled field trials.

Your profile:

  • Due to to security regulations for this role, you have to hold citizenship of an EU Member State.

  • Minimum 5 years full-time work experience as a software or systems engineer.

  • Minimum 2 years of full-time work experience working in data engineering.

  • Fluent in Python.

  • Ability to work with Airflow and Docker.

  • Experience with bash scripting and the Linux command line.

  • You were involved in the design, implementation, migration, deployment, observability, monitoring of a production system.

  • You know how to visualize metrics, logs, and traces from various data sources using e.g. Grafana, Prometheus, OpenTelemetry or similar.

  • Fluent in English, any other spoken language is a plus.

  • Passion for IoT and defense.

  • Happy to support field operations across Germany 5-25 days per year.

  • Ideally some experience with C/C++.

If you are interested, please apply via our homepage with your current CV, including your LinkedIn and GitHub profile.

If you have any questions, feel free to reach out via email (nathalie@the-formula.de) or WhatsApp (+491752413757).

We celebrate diversity.
That’s why we explicitly welcome all applications - regardless of gender, gender identity or expression, sexual orientation, age, ethnic or social background, religion or belief, physical abilities, family status, appearance, or any other characteristic that must not be a factor under applicable law.

We firmly believe that diverse perspectives, experiences, and life journeys enrich teams and lead to better decision-making.

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