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Senior Data Engineer (m/w/d)

Hannover💼 Full-time🗓 2026-07-02 → 2026-09-29

Core

Designing and operating data pipelines that drive ifap DataServices, transforming curated pharmaceutical, prescription, and clinical reference data into reliable, current, and performant datasets for SaaS products and partners.

Role type

Senior Data Engineer (Healthcare)

Builds

Data products and AI-native features for SaaS platforms

Domain

Healthcare / Life Sciences / Data Engineering

Deliverable

production ML models | product features

Required skills

Python, SQL, ETL/ELT pipeline design, Apache Spark/Scala, AWS, Terraform, GitOps/ArgoCD, CI/CD, automated testing, schema management, AI/LLM integration (Claude Code, agents)

Preferred skills

Experience with AI pipelines, harnesses, and context engineering

Technologies

Python, FastAPI, Apache Spark, Scala, AWS, Terraform, Git, Airflow, dbt, Kafka, Claude Code

Responsibilities

Design and maintain robust ETL/ELT pipelines with focus on data quality, lineage, and observability; Collaborate with Product Management and AI Engineers to design data products enabling new features; Utilize AI tools to accelerate development of pipelines and workflows; Implement engineering standards including automated tests and strict schema management

Seniority

Senior, hands-on IC

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