As a hands-on, mid-level data engineer within the BI and Data team, you will design, build, and maintain batch and near real-time data pipelines using Microsoft Fabric, Synapse, Azure Data Factory, and related Microsoft data platform technologies. You will develop and optimize SQL-based transformations, ingestion routines, and curated data structures across structured and semi-structured sources. You will build and maintain lakehouse, warehouse, and staged data architectures to support reusable enterprise datasets, semantic models, dashboards, and downstream use cases. You will apply data modeling practices, including dimensional modeling and source-to-target mapping, and integrate data from ERP, finance, operational systems, APIs, files, and external platforms into governed assets. You will implement data quality checks, reconciliation controls, and monitoring to improve accuracy and repeatability, monitor pipeline runs, troubleshoot failures, and optimize query performance and data refresh strategies as the Fabric platform becomes embedded. You will work with the BI Manager to develop semantic models and BI reports as required, while recognizing t

As a hands-on, mid-level data engineer within the BI and Data team, you will design, build, and maintain batch and near real-time data pipelines using Microsoft Fabric, Synapse, Azure Data Factory, and related Microsoft data platform technologies. You will develop and optimize SQL-based transformations, ingestion routines, and curated data structures across structured and semi-structured sources. You will build and maintain lakehouse, warehouse, and staged data architectures to support reusable enterprise datasets, semantic models, dashboards, and downstream use cases. You will apply data modeling practices, including dimensional modeling and source-to-target mapping, and integrate data from ERP, finance, operational systems, APIs, files, and external platforms into governed assets. You will implement data quality checks, reconciliation controls, and monitoring to improve accuracy and repeatability, monitor pipeline runs, troubleshoot failures, and optimize query performance and data refresh strategies as the Fabric platform becomes embedded. You will work with the BI Manager to develop semantic models and BI reports as required, while recognizing t