> Markdown version of [/jobs/ext/4001290-data-engineer](https://www.wearedevelopers.com/jobs/ext/4001290-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# DATA ENGINEER

- **Company:** Omnisent
- **Location:** München, Germany
- **Contract:** Permanent contract
- **Skills:** Databases, Data Infrastructure, PostgreSQL, SQL Databases, Test Data, Management of Software Versions, Hardware Testing, Build Tools, Data Pipelines
- **Published:** October 29, 2026
- **Apply:** https://www.careerjet.de/jobad/de99a7c535706607803908fa3374ac0a1c

## About the Role

* Strong proficiency with SQL and Postgres, and experience designing data pipelines and infrastructure
 * Experience working with sensor, test, or field-collected data
 * Comfortable structuring and cleaning large, messy real-world datasets
 * Strong collaboration skills, able to work closely with hardware, flight test, and ML teams
 * EU work authorization

Bonus:

 * Experience with acoustic or sensor data specifically
 * Background supporting flight test or hardware test programs
 * Experience with ML data pipelines (labeling, dataset versioning, etc.)

## Description

We are looking for a Data Engineer to build and maintain the data infrastructure behind our flight testing and acoustic sensor development - turning raw field data into structured, actionable insights for our hardware and ML teams.

 * Design, build, and maintain databases and pipelines for acoustic device parameters and flight test data using SQL and Postgres
 * Structure and manage large volumes of field-collected sensor and flight test data
 * Build tools and processes to make test data accessible and usable across hardware, ML, and flight test teams
 * Translate raw flight test results into structured, actionable datasets and insights
 * Collaborate with flight test engineers and ML engineers to ensure data quality and completeness from collection through analysis