Data Engineer - Apex

**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.