Data & AI Engineer (all genders), PharmaHera Service GmbH
Core
Transform data infrastructure to prepare it for AI agents that read, analyze, and autonomously act on it, while building data pipelines and products for management and operations.
Role type
Senior Data & AI Engineer (AI Agents & Data Infrastructure)
Builds
Data pipelines, datasets, AI agents, and data products for the online pharmacy group.
Domain
E-commerce / Healthcare / Data Engineering
Deliverable
production ML models
Required skills
Data Engineering, AI-Assisted Engineering (LLM coding agents), Google Cloud Platform (BigQuery), Apache Airflow, SQL, Python, Data Modeling, Semantic Layer Design, Agent Evaluation
Preferred skills
MCP (Model Context Protocol), LLM APIs, ClearClear, Docker, Apache Druid, BI tools (Apache Superset), Healthcare/Pharmacy industry experience
Technologies
Apache Airflow, BigQuery, Google Cloud Platform, Python, SQL, GitLab, Apache Superset, Claude Code, Anthropic API, MCP
Responsibilities
Build and optimize data flows in Apache Airflow from European markets into BigQuery; Implement tables and views in the Foundation layer to guarantee KPI comparability; Define schema, granularity, and quality for datasets used by AI agents; Use AI agents to generate code for pipelines and review/test the results; Expose data through MCP tools for decision agents; Build evaluation frameworks for non-deterministic agent outputs; Design reusable data products for management, finance, and operations.
Seniority
Senior, hands-on IC
