Summary
✨ AI‑Generated
Work as a Fabric Data Engineer helping organizations transform data ambitions into reliable, scalable platforms. You will design end-to-end data architectures, build cloud-native analytics solutions, and provide practical guidance across engineering, analytics, and governance. The role combines deep technical work with client-facing consulting and solution architecture.
Highlights
Technical consulting role designing and building reliable, scalable data platforms, combining architecture, engineering, analytics, and governance with deep expertise in modern Microsoft data technologies.
Description
At Xebia Microsoft Services (XMS), we help organizations turn their data ambitions into reality through modern engineering, thoughtful architecture, and deep Microsoft expertise.
As a Microsoft Azure Fabric Consultant, you design and build the data solutions that make this possible.
You bring clarity to complex environments, guide clients as they adopt Microsoft Fabric, and support teams in working effectively with cloud-native analytics.
Join us and help shape the next generation of data platforms.
Responsabilities As a Fabric Data Engineer, you help clients turn their data goals into reliable, scalable data solutions.
You work across architecture, engineering, analytics, and governance, bringing technical depth and practical guidance to every stage of the engagement.
You ensure that platforms built on Fabric are well-designed, maintainable, and ready to support real business value.
In practice, this means: Solution Design & Architecture: Designing end-to-end data architectures using Microsoft Fabric (Lakehouse, Data Engineering, Data Factory, Real-Time Analytics, Power BI).
Data Engineering: Building and optimizing data pipelines and notebooks using Spark, Dataflows Gen2, Pipelines, and ELT/ETL best practices.
Data Governance: Defining governance frameworks: domains, workspaces, OneLake structures, cataloging, lineage, and security.
Analytics & BI Enablement: Creating high-quality semantic models and datasets that empower BI teams, and real-time analytics use cases.
Azure Integration: Integrating Fabric with broader Azure services such as ADLS, Event Hub, Azure SQL, Databricks, and Purview.
Stakeholder Enablement: Guiding stakeholders through Fabric adoption with workshops, assessments, PoCs, and knowledge transfer.
