Azure Fabric Data Engineer

Role Overview

We are seeking an experienced Microsoft Fabric Data Engineer to join our Data & AI practice. In this role, you will design, build, and operate enterprise-grade data solutions using the Microsoft Fabric unified analytics platform. You will work closely with UK-based client stakeholders and offshore delivery teams to deliver lakehouses, data pipelines, semantic models, and reporting layers that drive measurable business outcomes.

Key Responsibilitie

sData Engineering & Architectur

• eDesign and implement end-to-end data solutions on Microsoft Fabric, including OneLake, Lakehouse, Warehouse, and Data Factory components
• .Build and optimise ELT/ETL pipelines using Fabric Data Factory, Dataflows Gen2, and Spark notebooks
• .Architect Delta Lake table structures, manage schema evolution, and enforce data quality frameworks
• .Implement medallion architecture (Bronze / Silver / Gold) aligned to client data domains such as Finance, HR, and Supply Chain
• .Integrate Microsoft Fabric with Azure Data Lake Storage Gen2, Azure SQL, Dynamics 365, and third-party ERP/CRM systems

.
Analytics & Reporti

• ngDevelop semantic models and DirectLake datasets within Fabric for Power BI consumptio
• n.Build executive-level dashboards and self-service reports aligned to F&A KPIs (DSO, DPO, AR ageing, AP cycle time, P&L variance
• ).Collaborate with business analysts and finance stakeholders to translate requirements into scalable analytical model

s.
Platform Operations & Governa

• nceConfigure Fabric capacities, workspaces, and access controls in alignment with client security and data governance standar
• ds.Implement row-level security (RLS), column-level security, and sensitivity labels using Microsoft Purview integrati
• on.Monitor pipeline performance, manage SLAs, and resolve incidents within agreed ITSM framewor
• ks.Support capacity management and cost optimisation across Fabric SK

Us.
Client Engagement & Deli

• veryParticipate in client-facing workshops, design sessions, and sprint reviews with UK-based stakehold
• ers.Produce technical design documents, data dictionaries, and runbooks to enterprise standa

rds.
Required Skills & Expe

rienceCore (Must

• Have)4+ years of hands-on experience in data engineering on Microsoft Azure (Azure Data Factory, Azure Synapse, or Fa
• bric).Demonstrable experience with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Factory, Real-Time Intellig
• ence).Strong proficiency in PySpark, SQL (T-SQL / Spark SQL), and Python for data transformation and pipeline
• logic.Experience building and maintaining Power BI semantic models, including DAX authoring and DirectLake
• mode.Knowledge of Delta Lake / Apache Parquet formats, partitioning strategies, and Z-ord
• ering.Familiarity with CI/CD practices for data pipelines using Azure DevOps or GitHub Ac
• tions.Understanding of data governance principles, data lineage, and metadata manag

ement.
Desirable (Nice t

• o Have)Microsoft certifications: DP-600 (Microsoft Fabric Analytics Engineer), DP-203 (Azure Data Engineer Associate), or PL-300 (Power BI Data An
• alyst).Experience in finance domain data (AP, AR, GL, payroll, headcount anal
• ytics).Exposure to Fabric Real-Time Intelligence / Eventstream for streaming data use
• cases.Knowledge of Microsoft Purview for data cataloguing and lineage tr
• acking.Experience with Databricks, dbt, or other modern data transformation t
• ooling.Prior experience working in an outsourcing or managed services delivery envir