About this role
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:
Join our team and help shape the future of medical data services! You'll design and deliver robust APIs serving pharmaceutical and medical data for various purposes while building scalable ETL pipelines that transform complex data from multiple sources into structured, actionable information. Be part of a team that values clean code, robust architecture, and continuous improvement.
Design, implement, and maintain a scalable API to serve medical and pharmaceutical data.
Develop a data model using ER modeling principles as the foundation for the API.
Design and maintain scalable ETL pipelines for data integration.
Collaborate across the full software lifecycle – from design through implementation, testing, and deployment.
Build and optimize data transformations across multiple formats and database technologies.
Participate in code reviews, technical discussions, and knowledge sharing.
Contribute to CI/CD pipelines and deployment automation using GitLab CI and ArgoCD.
Write comprehensive tests and maintain high code quality standards.
Document solutions and share knowledge via Confluence.
What You Bring Along:
7+ years experience as Data Engineer
Degree in Computer Science, Software Engineering, or a related technical field
Strong skills in relational database design
Strong expertise in Python or a JVM-based Language
Strong API design experience in cloud environments
Solid understanding of ETL pipelines and data processing patterns
Database proficiency, particularly PostgreSQL
Experience with Kubernetes and container orchestration
Familiarity with GitLab CI/CD pipelines and deployment workflows
Knowledge of workflow orchestration tools (Argo Workflows, DAG-based systems)
Strong analytical mindset for complex data structures
Excellent communication skills
Openness to AI-assisted development tools
Experience with Agile workflows using Jira
What You Can Expect from Us:
Continuous Education and Development Opportunities: Take advantage of individually selected training courses to expand your skills and continuously develop yourself.
Mobile work: Work flexibly remotely two days a week and on site three days a week.
Events: Be part of exciting internal events and activities that take place regularly, both on-site and remotely. Here, you can network, exchange ideas, and benefit from interactions with other industry experts, fostering growth and innovation together.