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Senior Data Engineer (m/w/d)

Heidelberg💼 Full-time🗓 2026-07-02 → 2026-07-30

Core

Designing and operating data pipelines that transform 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, Apache Spark/PyScala, AWS, Terraform, GitOps/ArgoCD, CI/CD, Schema Management, AI Agents (Claude Code)

Preferred skills

Experience with Airflow, dbt, Kafka, Context Engineering, AI Pipeline Design

Technologies

Python, FastAPI, Apache Spark, Scala, AWS, Terraform, Git, ArgoCD, Claude Code

Responsibilities

Design and maintain robust ETL/ELT pipelines; collaborate with Product Management and AI Engineers to design data products; utilize AI agents to accelerate development and build reusable workflows; ensure data quality, lineage, observability, and cost optimization.

Seniority

Senior, hands-on IC

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