CHANEL

Data Engineer

• Design, build, test, deploy, and support Microsoft Fabric/FDP data products and pipelines
• Engineer scalable data products across OneLake, Lakehouse, Warehouse, Fabric Data Factory/Data Pipelines, notebooks, PySpark, SQL, Delta Lake, Dataflows Gen2, shortcuts, mirroring, and medallion architecture
• Build restartable and idempotent ingestion and transformation pipelines with schema-evolution handling, dependency management, controlled reprocessing, and exception handling
• Embed automated testing, reconciliation, data-quality controls, lineage, monitoring, alerting, failure evidence, and controlled exception routing
• Diagnose and classify failures across source data, integration, Fabric processing, orchestration, and downstream consumption layers
• Apply DataOps and software-engineering practices for source control, code review, CI/CD, deployment, access controls, rollback planning, and release management
• Improve reliability, capacity utilization, performance, and cost efficiency using platform monitoring and performance information
• Maintain source-to-target mappings, transformation logic, data-quality rules, technical lineage, ownership metadata, security requirements, change history, runbooks, limitations, and support handoff materials
• Review partner-delivered code, testing, controls, documentation, and production-readiness evidence
• Deliver tested and trusted curated data products for BI & Analytics and approved consumers
• Collaborate with architects, analysts, governance partners, application teams, source-system teams, and external delivery teams
• Contribute reusable engineering patterns and scalable improvements for Enterprise Data Management
• Share knowledge and establish repeatable practices for Fabric delivery

Explore Manager, Data Platform Engineer – Microsoft Fabric at CHANEL. Review requirements and application details.