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 data engineering fundamentals (data modelling, relational database design) and a focused expertise in data quality measurement

• 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