Public summary
A technology company in the automotive software industry is seeking a Data Quality & Benchmarking Engineer to enhance the quality processes for their data and machine learning platforms. The role involves early validation, test scenario design, dataset management, benchmarking, and close collaboration with engineering teams to ensure product quality throughout development. The position requires 2+ years of experience in quality or test engineering with strong Python skills and familiarity with modern software development practices.
Location and work setup
- Location
- Darmstadt
- Remote status
- On-site
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Responsibilities include reviewing product requirements and technical designs; translating them into validation scenarios and test plans; verifying feature implementation; managing diverse test datasets; executing benchmark scenarios measuring runtime and scalability; conducting exploratory testing; supporting release decisions through quality and risk assessments; collaborating across engineering teams; and documenting quality processes and results.
Qualifications
Qualifications include 2+ years of experience in quality engineering, test engineering, or related roles; strong skills in test design, exploratory and regression testing; proficiency in Python and testing frameworks such as pytest; familiarity with API testing, CI/CD pipelines, docker/containerized environments; experience working with data validation and platform workflows; strong communication abilities; and a structured approach to defining quality processes.