Software Engineer - Quality Engineering

RepRisk; Berlin; Hybrid; EUR 57.000 - 69.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Hybrid model

Work abroad (up to 4 weeks)

Paid training and volunteering days

Health & fitness subsidy

Frequent team and social events

Welcoming office with coffee & snacks

Diversity and inclusion

Zusammenfassung

RepRisk is seeking a Software Engineer, Quality to join the Global Technology Division. You will design reusable automated-testing scaffolding for data pipelines and build quality gates, integrating checks into CI/CD workflows.

You will turn complex data challenges into reliable tests, collaborate with delivery teams, and help raise quality standards across products. A strong emphasis on Python, SQL, and test architecture will drive your work.

Qualifikationen

• Proficient in Python and SQL for data pipelines and testing
• Experience designing and integrating automated tests into CI/CD pipelines
• Understanding of test layers: unit, integration, contract, and end-to-end
• Professional proficiency in English

Aufgaben

• Design and implement reusable automated-testing scaffolding for data pipelines and data products
• Integrate automated checks and quality feedback into CI/CD and data delivery workflows
• Contribute to the design of quality gates, minimum test expectations, and engineering standards
• Help delivery teams adopt testing capabilities and create maintainable tests for data pipelines and products
• Provide hands-on implementation or coaching where needed
• Build tooling to simplify adding tests, understanding failures, and acting on quality signals
• Review and improve checks and guardrails based on evidence and feedback
• Share learnings within the broader Quality Engineering team

Kenntnisse

Python

SQL

Test architecture

CI/CD

English

Jobbeschreibung

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 human expertise, and a proven methodology at the core, RepRisk’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 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 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 eventsthat bring our global community together.
• A welcoming office environmentwith complimentary coffee, refreshments, fresh fruit, and healthy snacks.
• A company that embraces diversityand values different perspectives.

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 human expertise, and a proven methodology at the core, RepRisk’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 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 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 eventsthat bring our global community together.
• A welcoming office environmentwith complimentary coffee, refreshments, fresh fruit, and healthy snacks.
• A company that embraces diversityand 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 automated mechanisms that detect problems early. You do not approach quality as simply writing more test cases, instead you drive change through test architecture, feedback loops, maintainability, ownership, and how engineering teams can validate their own work effectively. You can turn a defined problem and intended outcome into working software, collaborating with others to shape the solution. You are comfortable exploring unfamiliar technical areas and using available documentation and expertise to make progress. If that’s YOU – then this is the perfect role for you!

Your Responsibilities

As our new Software Engineer, Quality, you will join the Quality Engineering team within the Global Technology Division and report to the Global Head of Quality Engineering. You will help develop the frameworks, tooling, and automation that enable teams to continuously validate, observe, and improve the quality of their systems. Through hands‑on investigation and validation of selected product areas, you will identify significant risks and turn that understanding into reusable testing capabilities and guardrails.

In this role you will:

• Design and implement reusable automated-testing scaffolding for data pipelines and data products.
• Integrate automated checks and quality feedback into CI/CD and data delivery workflows.
• Contribute to the design of quality gates, minimum test expectations, and engineering standards as part of the wider Quality Engineering function.
• Help delivery teams adopt the shared testing capabilities and create maintainable tests for their own data pipelines and products.
• Provide hands‑on implementation or coaching where needed
• Build tooling that makes it easier for engineers to add tests, understand failures, and act on quality signals.
• Review the effectiveness of the implemented checks and guardrails, and improve them based on evidence and team feedback.
• Participate in the broader Quality Engineering team, sharing learnings and contributing to quality‑engineering practices beyond a single delivery team when needed.

Qualifications

You Offer

• Working proficiency in Python, including debugging code, writing automated tests, and using technical documentation effectively.
• Strong knowledge of SQL, including understanding of data pipelines, transformation workflows, and the ways data can become incomplete, inconsistent, stale, duplicated, or incorrectly transformed.
• Understanding of test architecture and different layers like unit, integration, contract, and end-to‑end, and experience integrating automated them into CI/CD workflows.
• Professional proficiency in English.

It would be a plus, if you have:

• Experience working with data-intensive, distributed, or platform-oriented systems.
• Experience with Databricks or another modern data platform.
• Familiarity with GitLab CI/CD.
• Experience with AWS or another cloud platform.
• Experience with data contracts, schema validation, pipeline observability, or data-quality tooling.
• Experience enabling engineering teams to own and maintain automated tests rather than creating a permanent dependency on a separate testing function.
• Exposure to AI-assisted engineering tooling or the validation of 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 56,700–69,300