{"id":848833,"url":"https://alion.io/job/ghobash-azure-data-engineer","title":"Azure Data Engineer","company":{"id":690341,"name":"Ghobash Group","domain":"ghobash.com","url":"https://alion.io/company/ghobash","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":76,"open_postings":39,"ghost_share":0,"stale_share":0.949,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":84000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Incident Management","optional":false},{"name":"Machine Learning","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-03T10:47:52Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-11-11T13:50:26Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":99},"description":"Ghobash Group capitalizes on opportunities within promising industry sectors by either acquiring existing companies or establishing new businesses. Aligned with the needs of a growing portfolio, the Group established Aban Investment to administer a host of centralized business functions (finance, legal, HR, marketing, etc.) all aimed at delivering greater cost efficiencies, value and best practices to each of its business units.\n The Azure Data Engineer is responsible for designing, implementing, and managing robust data solutions to meet business needs. This includes overseeing data pipelines, Azure data platform services, and delivering actionable insights through Power BI dashboards and reports. The specialist will play a critical role in transforming raw data into valuable insights, ensuring data accuracy, and supporting business intelligence initiatives across the organization.\nAzure Data Platform Management: Design, implement, and manage Azure SQL databases, Azure Data Lake Storage, and related Azure & Fabric services.\n ETL Processes and Data Pipelines: Create, monitor, and optimize ETL (Extract, Transform, Load) workflows to integrate data from multiple sources into centralized systems, ensuring reliability and performance.\nSQL and Python Development: Utilize SQL for querying, analysing, and managing relational databases, and develop Python scripts to automate data processes, integrate data sources, and support advanced analytics.\nBig Data and Advanced Analytics: Leverage Azure Databricks for big data processing, analytics, and machine learning workflows, and utilize tools like Apache Spark and Hadoop for processing large datasets.\nData Warehousing: Develop and maintain enterprise data warehouses to support analytics and reporting needs while ensuring seamless integration with visualization tools.\nData Security and Compliance: Implement robust data security measures to protect sensitive data, maintain compliance with organizational and regulatory standards, and support disaster recovery processes.\nCollaboration and Documentation: Collaborate with cross-functional teams to gather requirements and deliver data solutions while maintaining detailed documentation of data architectures, ETL processes, and Power BI standards.\nAI Enablement: Design, implement and Manage data solutions for the AI needs.\nIT Policies and IT Processes impacted/addressed by this position:\nDatabase Management Process: Adherence to data governance processes and policies to ensure data accuracy and security.\nData Security Policy: Ensuring compliance with data protection and security guidelines.\nChange Management Policy: Following procedures for managing changes in technology and processes.\nBusiness Continuity Policy: Supporting business continuity planning and disaster recovery processes.\nIT Incident Management: Participating in the resolution of IT incidents related to data solutions.\n Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field.\n\nAdvanced certifications in Azure Data Engineering, SQL, or Microsoft Power BI are preferred.\n\n Experience:\nMinimum of 7 years of experience in data engineering, data warehousing, ETL processes, and business intelligence development.\nProven expertise in Azure Data Factory, Azure Databricks, and Power BI development.\nStrong experience in SQL for database management, querying, and optimization.\nAny POC project for AI enablement for end users.\nDemonstrated proficiency in Python for data automation, analytics, and advanced transformations.\nExperience in managing data pipelines and integrating large data sets for analysis.\nDemonstrated experience in collaborating with stakeholders and presenting data-driven insights.\nExperience in building Data solutions for AI recipients that successfully helped the business with a tangible benefit.\nSkills & Abilities:\nProficient in Azure services: Data Factory, Databricks, Data Lake, SQL Database, and Synapse Analytics.\nAdvanced Power BI expertise, including DAX, data modelling, and report development.\nStrong SQL and Python skills for data processing, analysis, and automation.\nExperience with big data frameworks like Apache Spark and Hadoop.\nProficiency in relational databases: Microsoft SQL Server, MySQL, and PostgreSQL.\nExcellent organizational, problem-solving, and communication skills.\nFamiliarity with data security and compliance 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