AI Data Engineer
Core
Design, build, and maintain data pipelines, integrations, and structures to support AI, machine learning, analytics, and automation solutions.
Role type
Data Engineer (AI/ML enablement)
Builds
Reliable, secure, and governed data pipelines and integrations for enterprise AI and analytics platforms.
Domain
Geo-data, Enterprise Data Platforms, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, Python/PySpark, ETL/ELT, Data Modeling, Data Quality Management, API Development, CI/CD, Troubleshooting
Preferred skills
Microsoft Fabric, Databricks, Medallion Architecture, Azure Data Services, Copilot 365/Studio, Github Copilot
Technologies
Microsoft Fabric, Databricks, Power Platform, Azure, SQL, Python, PySpark
Responsibilities
Design and build scalable data pipelines; Ingest and transform data from enterprise systems and files; Integrate data across cloud platforms and business applications; Implement data quality monitoring, error handling, and lineage; Prepare and structure data for machine learning and model evaluation; Apply security, privacy, and governance requirements to data solutions.
Seniority
Mid-Senior, hands-on IC
