Data Engineer, Sr.

About the Company

CGM (CompuGroup Medical) is a leading provider of healthcare software solutions, operating in 19 countries with more than 9,000 employees. The company is committed to transforming healthcare through innovative digital technologies, cloud platforms, and artificial intelligence, enabling smarter, more efficient healthcare systems. CGM fosters a collaborative culture where innovation, engineering excellence, and AI-driven solutions improve patient care and healthcare outcomes.

About the Role

The Senior Data Engineer is responsible for designing, developing, and operating scalable data pipelines that power CGM's healthcare data services. This role focuses on building robust ETL/ELT solutions, ensuring high data quality, enabling AI-powered products, and collaborating with product, architecture, and AI engineering teams to deliver reliable, high-performance data platforms for SaaS applications and healthcare partners.

Location: Koblenz, Rhineland-Palatinate, Germany (Hybrid)

Responsibilities

Data Engineering & Pipeline Development

• Design, build, and operate scalable data pipelines supporting healthcare SaaS products.
• Develop and maintain ETL/ELT pipelines using Python, FastAPI, Apache Spark, and Scala.
• Transform pharmaceutical, prescription, and clinical reference data into reliable, high-performance datasets.
• Optimize data processing workflows for scalability, reliability, and cost efficiency.
• Ensure production pipelines deliver accurate and timely data for internal products and external partners.
• Continuously improve the performance and maintainability of enterprise data platforms.

Data Architecture & Quality

• Design and develop data products that enable AI-powered features and partner integrations.
• Maintain high standards of data quality, lineage, observability, and governance.
• Implement schema management, validation, and monitoring processes.
• Establish ownership and accountability for production data pipelines and services.
• Ensure reliable, performant, and scalable data architectures.
• Support data integrity across mission-critical healthcare systems.

AI Integration & Modern Engineering

• Collaborate closely with AI Engineers, Product Management, and Architects to build AI-native data solutions.
• Utilize Claude Code and AI agents to accelerate pipeline development and schema migrations.
• Develop reusable AI-assisted engineering workflows and automation.
• Contribute to AI pipeline design, context engineering, and workflow optimization.
• Evaluate and implement emerging AI technologies to improve engineering productivity.
• Promote engineering best practices across AI-enabled data platforms.

DevOps & Platform Engineering

• Implement automated testing throughout the data engineering lifecycle.
• Build and maintain CI/CD pipelines for data services.
• Apply Infrastructure as Code (IaC) practices using Terraform.
• Utilize GitOps methodologies and tools such as ArgoCD for deployment automation.
• Implement monitoring, observability, and operational reliability practices.
• Support secure, cloud-based data infrastructure and platform operations.

Cross-Functional Collaboration

• Partner with Product Management, AI Engineering, and Architecture teams to translate business requirements into scalable data solutions.
• Support healthcare partner integrations through reliable data products.
• Share technical expertise and mentor engineering team members.
• Contribute to strategic data platform initiatives and continuous improvement efforts.
• Foster collaboration across multidisciplinary engineering teams.
• Drive innovation while supporting CGM's mission of improving healthcare through technology.

Requirements

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Physics, or a related technical discipline.
• Extensive senior-level experience in Data Engineering with Python.
• Proven experience designing, deploying, and maintaining production-grade data pipelines in regulated or business-critical environments.
• Advanced SQL proficiency.
• Experience with modern data technologies such as Airflow, dbt, Apache Spark, PySpark, or Kafka.
• Experience working with cloud data platforms, preferably AWS.
• Experience implementing Infrastructure as Code using Terraform.
• Knowledge of GitOps practices and deployment tools such as ArgoCD.
• Experience with version control, automated testing, CI/CD pipelines, and monitoring.
• Demonstrated experience leveraging AI tools in software or data engineering workflows.
• Fluent German and English language skills.
• Strong analytical, communication, and problem-solving abilities.
• Highly proactive mindset with strong ownership and collaboration skills.

Preferred Qualifications

• Experience using Claude Code or similar AI-assisted development tools.
• Experience designing AI pipelines, context engineering, and AI workflows.
• Experience building reusable engineering automation frameworks.
• Experience within healthcare, life sciences, or other highly regulated industries.

Benefits

• Hybrid work model with two remote workdays per week.
• Professional development through the CGM Inhouse Academy and external learning partners.
• Modern office facilities and regular company events.
• Healthy on-site cafeteria.
• On-site fitness center with wellness programs.
• On-site childcare facilities at the CGM Koblenz campus.
• Corporate employee benefits program.
• Job bike program.
• Occupational pension plan.
• Collaborative and innovative work environment.

Equal Opportunity Employer

CGM is committed to fostering an inclusive workplace and welcomes qualified applicants regardless of disability, gender, nationality, ethnic or social background, religion, age, sexual orientation, gender identity, or any other characteristic protected by applicable law.