Data & AI Engineer (all genders), PharmaHera Service GmbH
Core
Transform data infrastructure to be usable by AI agents, building pipelines, datasets, and evaluation systems for a European online pharmacy group.
Role type
Senior Data & AI Engineer (AI Agent Infrastructure)
Builds
Data pipelines, datasets, AI agents, and evaluation frameworks for a standardized European data platform.
Domain
E-commerce / Online Pharmacy / Healthcare
Deliverable
production ML models | data products | infrastructure
Required skills
Data Engineering, Data Science, LLM coding agents (Claude Code), Google Cloud Platform (BigQuery), Apache Airflow, SQL, Python, Git/GitLab
Preferred skills
MCP (Model Context Protocol), LLM APIs, ClearClear, Docker, Apache Druid, BI tools (Apache Superset), non-deterministic system evaluation
Technologies
Apache Airflow, BigQuery, Google Cloud Platform, Apache Superset, GitLab, Coda, Claude Code, Anthropic API
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 semantic layer and data contracts for consistency across dashboards and agents; Use AI agents to generate code for pipelines, then review, test, and own the result; Expose data via MCP tools for AI agents to query reliably; Build evaluation systems and monitoring for non-deterministic agent outputs; Design reusable data products for management, finance, and operations.
Seniority
Senior, hands-on IC