Data Engineer (1-year fixed term) @ EcoVadis
Core
Design scalable data platforms, create reliable data products, and develop AI-powered solutions including agentic workflows to enable faster decision-making.
Role type
Data Engineer (AI-ready ecosystem focus)
Builds
Resilient data pipelines, semantic layers, self-service BI, operational reporting, and AI-driven workflows
Domain
Enterprise data platforms, AI/ML infrastructure, Cloud data engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed data processing, SQL, database design, ETL/ELT patterns, data modeling, data orchestration, version control, cloud platforms (AWS/Azure/GCP), cloud data tools (Azure Data Factory, Databricks)
Preferred skills
AI agents, agentic infrastructure, CI/CD pipelines
Technologies
Azure, Databricks, Azure Data Factory, Git, Azure DevOps
Responsibilities
Design and implement data processing pipelines, build semantic layers for analytics, experiment with AI agents and intelligent automation, collaborate with data scientists and BI teams
Seniority
Mid-level, hands-on IC