Purpose Of The JobA one-year contract for on-site work in the UAE or Saudi Arabia. The contractor should be available to visit the client's office in Dubai/Riyadh up to four times per week. We are seeking a highly skilled Data Engineer to join our team and contribute to advanced data analytics, machine learning model development, and data-driven decision-making for our client. The ideal candidate will have strong expertise in data manipulation, statistical analysis, and machine learning, along with experience in cloud platforms and big data technologies. Our client is a leading industrial company in the United Arab Emirates, recognized as the world’s largest ‘premium aluminum’ producer. With operations spanning from bauxite mining to alumina refining and aluminium smelting, they are a significant contributor to the UAE’s economy and a major player in the global aluminium industry. The company is committed to innovation, sustainability, and technological advancement, continually striving to enhance its processes and products to meet the evolving needs of its customers worldwide.Main Tasks And ResponsibilitiesObtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholdersEnsures that assigned area/areas are delivered within set deadlines and required quality objectivesProvides estimations, agrees task duration with the manager and contributes to project plan of assigned areaDeveloping best practices for data coding to ensure consistency within the systemUpdating and optimizing local and metadata modelsEvaluating implemented data systems for variances, discrepancies, and efficiencyTroubleshooting and optimizing data systemsUnderstand the business drivers and analytical use-cases and translate these to data productsDesign, implement and maintain pipelines that produce business critical data reliably and efficiently using cloud technologyReports about area readiness/quality, and raise red flags in crisis situations which are beyond his/her AORSuggests technical and functional improvements to add value to the productCollaborates with other teamsEducation, Skills And Experience MUST HAVE:Proficiency in programming languages such as Python, Java, or ScalaKnowledge of SQL and databases for efficient data storage and retrievalExperience with data integration and ETL processes for data ingestion and transformationUnderstanding of data warehousing and dimensional modeling for optimized data storage and queryingFamiliarity with big data technologies like Hadoop and Spark for handling large-scale datasetsExpertise in cloud platforms such as Azure for scalable data solutionsAbility to ensure data quality and governance through validation, integrity checks, and complianceProficiency in data visualization tools for reporting and insightsStrong collaboration and communication skills to work with cross-functional teamsProblem-solving and analytical thinking abilities for optimizing data workflowsKnowledge of version control and DevOps practices for efficient development and deploymentAbility to handle large datasets and build efficient data pipelinesEnsure the availability and reliability of data for analysis and decision-making