Data Engineer (Python) - APEX
On-siteIasi, Braşov, România
Job Summary
Design and operate data pipelines that power ifap DataServices, transforming curated drug, prescription, and clinical reference data into reliable, queryable datasets for SaaS products and partners. Build and maintain robust ETL/ELT pipelines in Python with FastAPI services, alongside Apache Spark and Scala workloads, prioritizing data quality, lineage, observability, and cost. Collaborate with product management, AI engineers, and architects to design data products enabling new AI-native features and partner integrations. Leverage AI agents to accelerate pipeline development, schema migrations, and analysis while contributing shared data-engineering skills and workflows. Apply engineering rigor through testing, CI/CD, and clear schema ownership. Fluent English required; German is a plus.
Required Qualifications
- Several years of senior-level data engineering experience in Python
- Proven track record on production pipelines
- Strong SQL
- Experience with at least one modern data stack (e.g. Airflow, dbt, Spark/PySpark, Kafka)
- Experience with cloud data platforms
- Fluent English
Desired Qualifications
- Experience with AWS
- Experience with Terraform
- Experience with ArgoCD
- Effective use of AI in software engineering
- Experience with Claude Code (agents, skills, workflows)
- AI pipelines, harnesses and context engineering
- German
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.