AI Data Engineer
Core
Build and maintain scalable ETL/ELT pipelines and data governance frameworks to power AI capabilities, dashboards, and business workflows for HPE Financial Services.
Role type
Senior Data Engineer (AI Data Backbone)
Builds
Production-grade data pipelines, governed datasets, and analytics-ready models for AI/ML and BI teams.
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
PySpark, SQL, Databricks, Microsoft Fabric, Power BI, Azure Data Factory, Data Governance (Collibra), Medallion Architecture
Preferred skills
dbt, Unity Catalog, Semantic Modeling, RAG pipeline data preparation, AI-assisted data tooling
Technologies
Databricks, Microsoft Fabric, Azure Data Factory, Power BI, Collibra, PySpark, SQL, Python, Azure Synapse, Git
Responsibilities
Design and optimize ETL/ELT pipelines using PySpark and Azure Data Factory; Implement data quality rules and governance workflows in Collibra; Develop Power BI semantic models and dashboards; Partner with AI engineers to prepare feature datasets for ML/LLM use cases.
Seniority
Mid-Senior, hands-on IC
