Jobbörse
Veröffentlicht am 14. Sept. 2026
Berlin
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Gehalt (Schätzung)
Grobe Schätzung: 44.000 €–58.000 €/Jahr
About Us RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Our mission is to provide transparency on business conduct risks to drive positive change. Combining advanced AI with deep humanexpertise, and a provenmethodologyat the core,RepRisk’ssolutions bring performance and peace of mind, enabling clients to know more, be sure, and act faster.
With our values of intellectual honesty and humility, operational excellence, and openness and respect, our diverse teams of talented experts are pioneering solutions that enable clients to make better informed decisions. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bringan independent lensto the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for businessconductdata and driving positive and meaningful change through transparency.
Your tasks perfect for you! YourResponsibilities As our newQuality Engineer,you will help build and improve the frameworks, tooling and automation that allow teams to continuouslyvalidate, observe, and improve their systems.You will be part of our globalTechnologydivision and report to theGlobalHead ofQuality Engineeringbased inBerlin,Germany. 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, Your profile and values perspectives Job Description AboutYou 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.Ifthat’sYOU –thenthis is ,developer experience Qualifications You Offer Strong Python and SQL skills; Java experience is a plus.
Understanding of data pipelines, transformationworkflowsandpracticalapproaches for validating data integrity in complex systems. Hands-on experience creating,extendingandmaintainingautomation frameworksor 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 aplus,ifyou 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 We offer WeOffer We offer a diverse, multicultural, and missiondriven workplace where your impact truly matters.
You’ll join a collaborative team that values openness, respect, and work–life balance. What you can expect: Flexible working hours and a hybrid model (with home office days). Up to 4 weeks per year working abroad, subject to policy and approvals.
Paid training and volunteering days, plus charity donation matching. Health & fitness subsidy to support your wellbeing. Frequent team and social events that bring our global community together.
A welcoming office environment with complimentary coffee, refreshments, fresh fruit, and healthy snacks. A company that embraces diversity AI-outputs. Additional Information Please note that we will only consider candidates with a valid work permit.
The salary range
Wir zeigen einen Auszug und einen Link je Anzeige, und den vollen Text, wenn die Quelle es erlaubt. Genannte Marken und Logos gehören ihren Inhabern.
Schätzung: etwa 67.000 €/Jahr
TechBiz Global GmbHBerlin, Berlin
Glassdoor 4,9 (26)
LieferandoBerlin
Glassdoor 3,5 (386)
Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung
Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung
Grobe Schätzung: 44.000 €–75.000 €/Jahr
Grobe Schätzung: 44.000 €–58.000 €/Jahr
