3 days ago

Azure Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Design, implement, and manage Azure-based data solutions that turn raw data into reliable, business-ready insights. Build and optimize ETL pipelines feeding centralized data warehouses, and support business intelligence with Power BI dashboards and reports. Leverage Azure services such as Data Factory, Data Lake Storage, Databricks, SQL databases, and Synapse Analytics, while applying strong security/compliance practices. Collaborate with stakeholders and enable data solutions for AI use cases.

Location: Dubai

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, implement, and manage Azure data platform services including Azure SQL databases, Azure Data Lake Storage, and related Azure/Fabric services.
•Create, monitor, and optimize ETL workflows to integrate data from multiple sources into centralized systems.
•Develop and optimize SQL queries and Python scripts to automate data processes and support advanced analytics.
•Leverage Azure Databricks for big data processing, analytics, and machine learning workflows using tools such as Apache Spark and Hadoop.
•Implement data security/compliance measures and support disaster recovery while collaborating with cross-functional teams and maintaining documentation (including Power BI standards).

Key Requirements

•Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field.
•Minimum 7 years of experience in data engineering, data warehousing, ETL, and business intelligence development.
•Proven expertise in Azure Data Factory, Azure Databricks, and Power BI development.
•Strong SQL experience for database management, querying, and optimization.
•Demonstrated proficiency in Python for data automation, analytics, and advanced transformations.

Experience:7+ yearsData engineeringData warehousingETLBusiness intelligenceBig dataAI enablement

Education:Bachelor's

Skills:Organizational skillsProblem-solvingCommunication

Certifications:Azure Data EngineeringSQLMicrosoft Power BI

Languages:English

Tech Stack:AzureAzure Data FactoryAzure DatabricksPower BISQLPythonAzure SQL DatabaseAzure Data Lake StorageAzure FabricSynapse AnalyticsAzure Synapse AnalyticsApache SparkHadoopMicrosoft SQL ServerMySQLPostgreSQLDAXData modelingData warehousingETL pipelines

Company Brief

Ghobash Group

Ghobash Group is a diversified family-owned conglomerate based in the UAE, operating across automotive, luxury retail, distribution, real estate, and investments, providing products and services across the Middle East and beyond.

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Dubai, United Arab Emirates

Website LinkedIn

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Ghobash Group

3 days ago

Azure Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Dubai

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, implement, and manage Azure data platform services including Azure SQL databases, Azure Data Lake Storage, and related Azure/Fabric services.
•Create, monitor, and optimize ETL workflows to integrate data from multiple sources into centralized systems.
•Develop and optimize SQL queries and Python scripts to automate data processes and support advanced analytics.
•Leverage Azure Databricks for big data processing, analytics, and machine learning workflows using tools such as Apache Spark and Hadoop.
•Implement data security/compliance measures and support disaster recovery while collaborating with cross-functional teams and maintaining documentation (including Power BI standards).

Key Requirements

•Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field.
•Minimum 7 years of experience in data engineering, data warehousing, ETL, and business intelligence development.
•Proven expertise in Azure Data Factory, Azure Databricks, and Power BI development.
•Strong SQL experience for database management, querying, and optimization.
•Demonstrated proficiency in Python for data automation, analytics, and advanced transformations.

Experience:7+ yearsData engineeringData warehousingETLBusiness intelligenceBig dataAI enablement

Education:Bachelor's

Skills:Organizational skillsProblem-solvingCommunication

Certifications:Azure Data EngineeringSQLMicrosoft Power BI

Languages:English

Company Brief

Ghobash Group

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Dubai, United Arab Emirates

Website LinkedIn