Senior/Lead Data Engineer – AI-Native Aftermarket Platform
Core
Design and build robust, idempotent data pipelines to power an AI-native platform for optimizing inventory, service, and sales in the global equipment aftermarket.
Role type
Senior/Lead Data Engineer (AI-Native Platform)
Builds
Scalable data marts, production-grade Python modules, and dbt models for machine learning insights.
Domain
AI-Native Software / Equipment Aftermarket
Deliverable
production ML models
Required skills
SQL, dimensional modeling, Python engineering, Spark/PySpark, Delta Lake, dbt, Databricks Asset Bundles, Git workflows, secret management
Preferred skills
Azure Data Factory, dbt observability, PII detection, multi-tenant configuration, GitHub Actions, AI-assisted development tools
Technologies
Python, SQL, Spark, PySpark, Delta Lake, dbt, Databricks, Unity Catalog, Azure Key Vault, GitHub Actions, Azure Data Factory
Responsibilities
Design and build robust, idempotent data pipelines from scratch; Design star and snowflake schemas; Write production-grade, unit-tested Python code; Build and test dbt models; Author and deploy jobs using Databricks Asset Bundles; Implement rigorous data quality checks; Own data pipelines end-to-end and mentor mid-level engineers; Define overarching technical direction across core data systems.
Seniority
Senior/Lead, hands-on IC with mentorship responsibilities
