Microsoft Fabric Data Engineer

Sucafina · Beyrouth

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 ETL ELT Data modeling CDC Medallion Architecture Performance optimization Partitioning File management Query optimization REST APIs SQL Server SAP Azure Storage Dataverse Azure DevOps GitHub Actions YAML pipelines CI/CD Automated testing RLS CLS 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, focusing on data ingestion, transformation, storage, governance, and automation. This role is centered on data engineering and platform development rather than reporting.

Key responsibilities

Design and implement Lakehouse architectures using OneLake and Delta Lake, including Medallion (Bronze, Silver, Gold) models.
Build and maintain batch, incremental, CDC, and near‑real‑time ingestion pipelines with Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL.
Optimize Fabric Lakehouses, Data Warehouses and Spark workloads for performance, scalability and cost.
Implement CI/CD, automated testing, and release management using Fabric Git Integration, Azure DevOps or GitHub Actions.
Ensure data quality, governance, security and compliance through automated validation, lineage, sensitivity labels and access controls.

Required profile

Minimum 5 years of data engineering experience and at least 2 years with Microsoft Fabric or similar Lakehouse platforms.
Bachelor’s degree in Computer Science, Data Engineering or related field.

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, 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 and grow in a fast‑moving coffee business.
Merit‑based compensation and free coffee around the clock.

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Published 2 days ago

Expires 1 month from now

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Sucafina

Beyrouth

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