Data Engineer

Adecco · Dubai, United Arab Emirates
LinkedIn

Posted

Jul 09, 2026 (6d ago)

Seniority

Senior

Work Model

Not Specified

Type

Not Specified

Category

Data & ML

Salary

Not specified

Skills

Azure CI/CD Databricks ETL GitHub GitHub Actions Hadoop Machine Learning MLOps Observability Python Scala SQL Terraform

Description

We are seeking an experienced Data Engineer to join a high-performing data and analytics team driving enterprise-wide transformation initiatives. This role offers the opportunity to work with modern cloud-native architectures, large-scale datasets, AI use cases, and advanced data technologies that power analytics, business intelligence, and machine learning solutions. Key Responsibilities Design, develop, and optimize scalable batch and real-time data pipelines. Build and maintain enterprise data lakes, lakehouse architectures, and curated analytical datasets. Develop high-performance SQL and Python code for large-scale data processing workloads. Implement robust data quality, validation, monitoring, and observability frameworks. Develop cloud-native data solutions and infrastructure-as-code deployments. Collaborate closely with Data Scientists, BI teams, and business stakeholders to deliver trusted and governed data products. Support AI and machine learning initiatives by preparing high-quality training datasets and enabling MLOps workflows. Required Experience 5+ years of experience in Data Engineering. Strong experience designing and building ETL/ELT pipelines at scale. Advanced expertise in SQL and Python. Hands-on experience with cloud data platforms, preferably Azure. Experience with modern data warehousing and lakehouse architectures. Exposure to CI/CD and infrastructure automation practices. Top Skills for the Ideal Candidate Microsoft Fabric Azure Data Factory (ADF) Databricks PySpark Python Advanced SQL Lakehouse Architecture Delta Lake Azure Synapse Analytics Terraform Infrastructure as Code (IaC) GitHub Actions Azure DevOps Data Governance Data Quality Frameworks Change Data Capture (CDC) API Integrations Streaming Data Pipelines MLOps Enablement Metadata Management Data Lineage Nice to Have Scala Hadoop ecosystem exposure Machine Learning pipeline experience Experience supporting enterprise AI initiatives If you enjoy solving complex data challenges and building platforms that enable data-driven decision making at scale, we would love to hear from you. #DataEngineer #SeniorDataEngineer #Azure #MicrosoftFabric #Databricks #PySpark #DataEngineering #MachineLearning #AI #Analytics #CloudEngineering #UAEJobs #Hiring