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Microsoft Fabric Data Engineer

Jobs for Humanity · Beirut

New
Senior 🇬🇧 English
Microsoft Fabric OneLake Lakehouse Delta Lake Fabric Data Warehouse Data Pipelines Dataflows Gen2 Notebooks Monitoring Hub Deployment Pipelines Git Integration PySpark Spark SQL SQL T-SQL ETL ELT Data Modeling CDC Medallion Architecture Performance Optimization Partitioning Strategies File Management Query Optimization REST APIs SQL Server SAP Azure Storage Dataverse Azure DevOps GitHub Actions YAML Pipelines CI/CD Automated Testing Row-Level Security Column-Level Security Sensitivity Labels Managed Identities Data Lineage Audit Compliance

Job description

About the role

The Microsoft Fabric Data Engineer will design, build, and operate enterprise‑scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance and platform reliability, supporting analytics, AI and business intelligence across the organization.

Key responsibilities

  • Design and implement Lakehouse architectures using OneLake and Delta Lake, and develop batch, CDC and near‑real‑time ingestion pipelines.
  • Build scalable ETL/ELT solutions with Fabric Data Pipelines, Dataflows Gen2, PySpark and SQL, applying Medallion Architecture.
  • Optimize Fabric Lakehouses, Data Warehouses and Spark workloads, including partitioning, file management and performance tuning.
  • Implement CI/CD with Fabric Git integration, automated testing, and release management using Azure DevOps or GitHub Actions.
  • Establish data quality, governance and security controls, managing lineage, sensitivity labels and access policies.
  • Collaborate with architects, analysts and stakeholders, mentor junior engineers and document technical designs.

Required profile

  • Minimum 5 years of data engineering experience.
  • At least 2 years hands‑on with Microsoft Fabric or comparable Lakehouse platforms.
  • Strong background in designing enterprise‑grade data platforms and pipelines.

Required skills

  • Microsoft Fabric, OneLake, Lakehouse, Delta Lake, Fabric Data Warehouse
  • Data Pipelines, Dataflows Gen2, Notebooks, Monitoring Hub, Deployment Pipelines, Git Integration
  • PySpark, Spark SQL, SQL / T‑SQL, ETL/ELT development, Data Modeling, CDC, Medallion Architecture
  • Performance optimization, partitioning strategies, file management, query optimization, Spark tuning
  • Integration with REST APIs, SQL Server, SAP, Azure Storage, Dataverse
  • DevOps tools: Azure DevOps, GitHub Actions, YAML pipelines, CI/CD, automated testing
  • Security & governance: RLS, CLS, sensitivity labels, managed identities, data lineage, audit & compliance

What we offer

  • Pleasant family environment with multicultural exposure.
  • Opportunities to learn, grow and take on challenging projects.
  • Merit‑based compensation and free coffee around the clock.

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Published 17 hours ago

Expires 1 month from now

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