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Iași, România
Hybrid
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.