About this role
Your Impact:
• You design and operate the data pipelines that power ifap 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.
Your Profile:
• Several 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.
• Fluent English; German is a plus.