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Software Engineer - Quality Engineering

Online/Außer Haus - Idealerweise für Kandidaten in
10115, Berlin, Berlin, Deutschland
Unternehmen: RepRisk
Fernarbeit/Heimarbeit position
Verfasst am 2026-09-20
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Daten Analyst, Datenwissenschaftler, Dateningenieur, Maschinelles Lernen
Gehalts-/Lohnspanne oder Branchenbenchmark: 57000 - 69000 EUR pro Jahr EUR 57000.00 69000.00 YEAR
Stellenbeschreibung

Rep Risk 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 human expertise, and a proven methodology at the core, Rep Risk’s solutions 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 bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive and meaningful change through transparency.

We

Offer

We offer a diverse, multicultural, and mission driven 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 hoursand 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 subsidyto support your wellbeing.
  • Frequent team and social events that bring our global community together.
  • A welcoming office environmentwith complimentary coffee, refreshments, fresh fruit, and healthy snacks.
  • A company that embraces diversity and values different perspectives.
About Us

Rep Risk 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 human expertise, and a proven methodology at the core, Rep Risk’s solutions 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 bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive and meaningful change through transparency.

We

Offer

We offer a diverse, multicultural, and mission driven 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 hoursand 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 subsidyto support your wellbeing.
  • Frequent team and social events that bring our global community together.
  • A welcoming office environmentwith complimentary coffee, refreshments, fresh fruit, and healthy snacks.
  • A company that embraces diversity and values different perspectives.
Job Description About You

You are a Software Engineer who treats quality as a property of the system, not as a separate testing phase. You are comfortable working with data, code, and delivery pipelines. You can investigate how data moves through a system, identify where failures may occur, and implement…

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