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CGM is shaping the future of e-health from its Dev Center in Bangalore. The Senior Data Engineer will design and operate data pipelines powering our DataServices, transforming drug, prescription and clinical data into reliable datasets for SaaS products and partners.
You will build ETL/ELT pipelines in Python with FastAPI services, work with Spark/PySpark and Kafka, and apply data quality, lineage, observability and cost optimization. English fluency is required; German is a plus.
Create the future of e-Health together with us by becoming a part of our Dev Center in Bangalore As a leading provider of software solutions for healthcare, we operate in 19 countries and employ over 9,000 passionate professionals. Join us and become part of a dynamic, innovative environment overflowing with possibilities. Your dedication and passion will empower you to make a lasting impact. Together, we are shaping the future of healthcare. Become part of our mission and make a difference—for a world where knowledge saves lives!
As a Senior Data Engineer, You design and operate the data pipelines that power one of our critical DataServices - turning curated drug, prescription and clinical reference data into reliable, fresh, queryable datasets for our SaaS products and partners. You build and maintain robust ETL/ELT pipelines in Python with FastAPI services, alongside our Apache Spark and Scala workloads, with strong attention to data quality, lineage, observability and cost. You collaborate with product management, AI engineers and architects to design data products that unlock new AI-native features and partner integrations. You leverage Claude Code and AI agents to accelerate pipeline development, schema migrations and analysis, and you contribute to the team's shared data-engineering skills and workflows. You bring engineering rigour to data: testing, CI/CD, observability, schema management and clear ownership.
5+ years of senior-level data engineering experience in Python, with proven track record on production pipelines. Strong SQL, experience with at least one modern data stack (e.g. Airflow, dbt, Spark/PySpark, Kafka), and cloud data platforms - ideally AWS with Terraform and ArgoCD. Effective use of AI in software engineering; experience with Claude Code (agents, skills, workflows) is preferred; AI pipelines, harnesses and context engineering are a strong plus. Strong problem solving, innovation, proactivity, and alignment with our healthcare purpose. Excellent communication skills; Fluent English; German is a plus.
Even if you do not meet all the requirements of this job post, we encourage you to apply! We are interested in your real-world experience, strengths, and problem-solving style rather than generic and theoretical assessments.
We create the future of e-health. Become part of a significant mission. We create the future of e-health. CGM is one of the leading e-health companies in the world with more than 8.700 highly qualified employees Sustainable solutions for constantly growing demands in healthcare Locations in 19 countries and products in 60 countries worldwide