Data Engineer
Core
Design, build, and optimize scalable data platforms, pipelines, and integration frameworks to power Business Intelligence, analytics, and AI for Lifecycle Services (LCS).
Role type
Senior Data Engineer (Enterprise Data Platform & BI Enablement).
Builds
Scalable data pipelines, data warehouses, data marts, semantic layers, and trusted datasets for Power BI and self-service analytics.
Domain
Industrial Automation / Manufacturing / Enterprise Data & BI.
Deliverable
production ML models | product features | dashboards & analysis | infrastructure.
Required skills
SQL, relational database design, ETL/ELT pipeline development, Azure Data Factory, Azure Synapse, Azure Databricks, Microsoft Fabric, Dataverse, Azure SQL, API integrations, DevOps practices.
Preferred skills
ERP/CRM/service management system experience, AI/advanced analytics platform familiarity, Agile delivery methodologies.
Technologies
Azure Data Factory, Azure Synapse, Azure Databricks, Microsoft Fabric, Dataverse, Azure SQL, Power BI.
Responsibilities
Design and maintain scalable data pipelines integrating ERP, CRM, and financial systems; build and optimize data models and semantic layers; develop ELT/ETL processes for reliable data movement; provide trusted datasets for Power BI dashboards and reports; establish data quality, consistency, and governance processes; develop data structures supporting predictive analytics and AI initiatives.
Seniority
Senior, hands-on IC.
