Data Engineer, Sr.

Senior Data Engineer

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 dedicated to transforming healthcare through innovative digital technologies, cloud platforms, and artificial intelligence, enabling smarter, more efficient healthcare systems. CGM fosters a collaborative culture where technology and innovation help 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 data quality, enabling AI-driven products, and collaborating with product, architecture, and AI engineering teams to deliver high-performance data platforms for SaaS solutions and healthcare partners.

Location: Hanover, Lower Saxony, 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 analytical datasets.
• Ensure high-performance, scalable, and maintainable data processing workflows.
• Optimize pipeline efficiency, reliability, and operational costs.
• Support continuous improvement of enterprise data platforms.

Data Architecture & Quality

• Maintain high standards of data quality, lineage, and observability.
• Design reliable and scalable data products for internal and external stakeholders.
• Implement schema management and data validation processes.
• Ensure consistent ownership and governance of production data pipelines.
• Monitor data integrity and operational performance.
• Develop scalable solutions for business-critical healthcare data.

AI & Modern Data Platform Integration

• Collaborate with AI Engineers to enable AI-native products and capabilities.
• Utilize AI-assisted development tools, including Claude Code and AI agents, to accelerate engineering workflows.
• Support AI pipeline development and context engineering initiatives.
• Build reusable data engineering workflows and automation solutions.
• Contribute to innovative AI-driven healthcare technologies.
• Evaluate and adopt emerging technologies to improve engineering productivity.

DevOps & Platform Engineering

• Implement automated testing, CI/CD pipelines, and deployment best practices.
• Support Infrastructure as Code (IaC) initiatives using Terraform.
• Manage version control, monitoring, and operational observability.
• Apply GitOps practices for infrastructure and deployment automation.
• Collaborate with engineering teams to improve platform reliability.
• Support secure, scalable cloud-based data environments.

Cross-Functional Collaboration

• Partner with Product Management, AI Engineering, and Architecture teams.
• Translate business and product requirements into scalable data solutions.
• Contribute to strategic data platform initiatives.
• Share technical expertise and best practices across engineering teams.
• Support partner integrations and enterprise data products.
• Drive continuous innovation and operational excellence.

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 operating production data pipelines in regulated or business-critical environments.
• Advanced SQL proficiency.
• Experience with modern data platforms and technologies such as Apache Spark, PySpark, Airflow, dbt, or Kafka.
• Experience with cloud data platforms, preferably AWS.
• Experience implementing Infrastructure as Code using Terraform.
• Knowledge of GitOps practices, including ArgoCD.
• Experience with version control, automated testing, CI/CD, and monitoring.
• Experience leveraging AI tools within software or data engineering workflows.
• Fluent German and English language skills.
• Strong analytical, problem-solving, and communication abilities.
• Highly proactive mindset with excellent collaboration skills.

Preferred Qualifications

• Experience using Claude Code or similar AI-assisted engineering tools.
• Experience designing AI pipelines and context engineering solutions.
• Experience developing reusable engineering workflows and automation.
• Experience supporting healthcare 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 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.