Quality Engineer
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Job Summary
About You
You are an engineer who thinks about quality as a system property not a testing activity. You are interested in how systems fail how issues propagate across components and how to design mechanisms that detect and prevent them early. You have contributed to automation frameworks quality tooling or quality engineering practices in complex systems. You enjoy working across teams and are interested in improving how quality is implemented and measured at scale. If thats YOU then this is the perfect role for you!
Your Responsibilities
As our new Quality Engineer you will help build and improve the frameworks tooling and automation that allow teams to continuously validate observe and improve their systems. You will be part of our global Technology division and report to the Global Head of Quality Engineering based in Berlin Germany.
In this role you will:
- Build and integrate automated checks across data pipelines and services.
- Implement reusable automated and AI-assisted solutions and quality practices.
- Build and improve frameworks and tooling that help teams detect diagnose and act on quality issues.
- Collaborate with engineering and data teams to improve software and data quality processes tooling and developer experience.
Qualifications :
You Offer
- Strong Python and SQL skills; Java experience is a plus.
- Understanding of data pipelines transformation workflows and practical approaches for validating data integrity in complex systems.
- Hands-on experience creating extending and maintaining automation frameworks or test tooling.
- Experience working with CI/CD (Gitlab or similar) pipelines and automated quality checks.
- Strong communication skills with a proficiency in English every other language is a plus.
It would be a plus if you have:
- Experience working in data-heavy distributed or platform-oriented environment.
- Experience with Databricks or similar data platform environments.
- Familiarity with AWS or similar cloud providers.
- Familiarity with data quality concepts and tools such as SODA Great Expectations etc.
- Exposure to evaluating and validating AI-generated outputs.
Additional Information :
Please note that we will only consider candidates with a valid work permit.
The salary range for this role is EUR
Remote Work :
No
Employment Type :
Full-time
About Company
About Us RepRisk is a rapidly growing global company and a pioneer in the ESG data science field. Our goal is to make the world a better place by creating transparency in the business world – we are driving positive change via the power of data. We combine AI and machine learning with ... View more
