Data Engineer

About the role

The LCS Data Engineer designs, builds, maintains, and optimizes data platforms, pipelines, and integration frameworks that power Business Intelligence, analytics, AI, and operational reporting across Lifecycle Services.

Key responsibilities

• Design, develop, and maintain scalable data pipelines integrating ERP, CRM, service management, financial, and operational systems.
• Build and optimize data models, warehouses, marts, and semantic layers for reporting and analytics.
• Develop and maintain ELT/ETL processes and support cloud‑based data architectures.
• Provide trusted datasets for Power BI dashboards and self‑service analytics.
• Establish data quality, governance, and compliance processes.
• Prepare data structures for predictive analytics, AI, and advanced analytics initiatives.

Required profile

• Strong experience in data engineering, data architecture, and enterprise analytics environments.
• Advanced knowledge of SQL and relational database design.
• Experience building and maintaining ETL/ELT pipelines.
• Familiarity with modern DevOps practices, version control, and automated deployment.

Required skills

• Azure Data Factory
• Azure Synapse
• Azure Databricks
• Microsoft Fabric
• Dataverse
• Azure SQL
• Power BI and tabular models
• SQL
• API integrations
• DevOps and version control tools

What we offer

• Comprehensive mindfulness programs with a premium membership to Calm.
• Volunteer paid time off after 6 months of employment.
• Company volunteer and donation matching program.
• Employee Assistance Program.
• Personalized wellbeing programs through OnTrack.
• On‑demand digital course library for professional development and other local benefits.