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Senior Data Quality Engineer

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Job Description - Senior Data Quality Engineer

Your Role at CGM:

As a leading provider of software in the healthcare sector, we operate in 19 countries with over 9,000 dedicated employees, working in a dynamic and innovative environment full of opportunities. With your commitment and passion, you have the chance to make a sustainable difference. Together, we are shaping the healthcare system of tomorrow. Join our mission and be the change – for a world where knowledge saves lives!

Are you passionate about pioneering products? Do you have the talent to transform ideas into concrete, value-adding solutions while always keeping the big picture in mind? If so, we are looking for you!

Your Contribution:

As a Data Quality Engineer, you will own data and code quality for our pharmaceutical data platform. You will define and automate quality KPIs, monitor and improve a human‑in‑the‑loop data processing pipeline, and make trends visible to stakeholders as we migrate a legacy system to a modern, future‑proof stack.

  • Join a collaborative team of passionate developers migrating our legacy pharmaceutical data management system to a cutting‑edge technology stack

  • Improve and maintain an automated test environment for use‑case and data‑driven test cases (unit, integration, end‑to‑end, acceptance)

  • Define, implement, and automate data quality metrics (accuracy, completeness, consistency) and publish them via dashboards

  • Emphasize reporting: produce clear, actionable data quality metrics and code coverage reports; make trends visible to stakeholders

  • Generate and surface code coverage reports

  • Track data quality using tools like Grafana

  • Perform data validation and profiling using SQL and database queries

  • collaborate with the team to improve data quality controls

What You Bring Along:

  • 5+ years experience as a Data Quality Engineer or similar role

  • Strong, hands on expertise in Python

  • Strong SQL and relational database skills for data validation and profiling

  • Degree in Computer Science, Software Engineering, or a related technical field

  • Acquainted with working in agile environment (Scrum, Kanban)

  • Definition and phrasing of test criteria that matters and are measurable

  • Proficiency of English language (C1 level)

Nice to Have:

  • Experience with cloud platforms (AWS/Azure)

  • Experience with Argo CD/Argo Workflows

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