Data Engineer
Core
Building robust data pipelines and semantic layers to unify European health and wellness market data for AI insights and strategic decision-making.
Role type
Data Engineer
Builds
Data pipelines, data warehouse tables/views, and reusable data products for BI and AI teams.
Domain
Health & Wellness / European E-commerce / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Apache Airflow, BigQuery, Python, SQL, Git/GitLab, Data Modeling, Data Warehousing
Preferred skills
Apache Superset, Druid, Machine Learning data preparation
Technologies
Apache Airflow, Google Cloud Platform (GCP), BigQuery, Apache Superset, GitLab, Coda, Druid
Responsibilities
Develop and optimize data pipelines using Apache Airflow; Implement and maintain BigQuery tables and views for cross-country KPI comparability; Ensure consistency of business definitions across dashboards and AI models; Design new data products for finance, commercial, and operations departments; Collaborate with BI teams to design reports and datasets in Apache Superset; Prepare datasets for AI agents and machine learning model deployment.
Seniority
Junior to Mid-level, hands-on IC