Senior Azure Data Platform Engineer - Analytics & Pipelines

AlFuttaim

Dubai

On-site

AED 312,480 - 424,080

Full time

14 days+

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Benefits offered by this job

Contribute to digital transformation initiatives

Collaborate with experienced specialists

Develop a rewarding career in data and analytics

Job summary

AlFuttaim in Dubai is seeking a Senior Data Engineer - Azure Data Platform to transform enterprise data sources into scalable analytics datasets. This role involves designing modern data pipelines, integrating SAP and non-SAP systems into the Azure data ecosystem, and supporting analytics initiatives.

The ideal candidate has extensive experience with Azure technologies and data engineering principles. Join a transformative organization committed to data-driven decision making across various real estate projects.

Qualifications

Minimum 10 years of experience in data engineering and enterprise data platform development.
Advanced expertise in Azure Data Factory, Databricks, Azure Event Hubs, and related cloud technologies.
Strong experience designing and managing large-scale data pipelines and big data architectures.
Proficiency in Python, PySpark, SQL, and both relational and non-relational databases.
Hands-on experience integrating multiple enterprise systems including SAP and external data sources.
Experience deploying data pipelines and automation using Azure DevOps and CI/CD practices.
Strong analytical and problem-solving capabilities when working with structured and unstructured data.
Ability to collaborate effectively in agile and cross-functional project environments.

Responsibilities

Design and implement scalable data engineering solutions that convert raw enterprise data into structured analytical datasets.
Develop rapid prototypes to demonstrate the value of data solutions to business stakeholders.
Translate business requirements into technical and functional specification documents for engineering teams.
Build and maintain scalable data pipelines capable of processing large data volumes from SAP and non-SAP systems.
Integrate new data streams into the Azure Data platform while ensuring reliability, accessibility, and performance.
Support reporting and analytics initiatives by enabling developers using tools such as Power BI, Alteryx, and Azure services.
Optimize data processing workflows to improve performance, scalability, and maintainability.
Collaborate with analytics, engineering, and business teams to deliver high-quality data solutions.
Support the deployment and automation of data pipelines using Azure DevOps and continuous integration processes.
Assist in transitioning prototype data solutions into production-grade enterprise analytics platforms.