Data Engineer
Core
Design, build, and maintain reliable data pipelines, datasets, and integration solutions supporting AI, intelligent automation, and Modern Workplace initiatives.
Role type
Data Engineer
Builds
Data pipelines, datasets, and integration solutions for AI and automation use cases
Domain
Retail / Data Engineering
Deliverable
production ML models
Required skills
Data engineering, data modeling, database and warehouse design, systems integration, data quality, Microsoft Azure data services, SQL, APIs, programming/scripting, ETL/ELT, automated testing, source control, CI/CD, DevOps, data governance, privacy, security, access control, metadata, lineage
Preferred skills
Experience supporting AI, automation, analytics, or enterprise applications
Technologies
Microsoft Azure, SQL, Power Platform
Responsibilities
Design and build data pipelines and integration solutions; manage data ingestion, transformation, validation, and enrichment; implement data quality, governance, and security practices; integrate pipelines with applications and APIs; monitor data services and investigate issues; maintain technical documentation and runbooks; collaborate with product, engineering, and business teams
Seniority
Mid-Senior, hands-on IC
