Ai Data Engineer (Ai Experience needed)

***HIRING***

I am looking for a Data Engineer with strong Ai Experience, to join my client in Dubai on a 1 years extendable contract. Please ONLY apply if you have the relevant skill sets, you will not be considered if you are a software engineer, data analyst etc

You MUST have experience with Data Governance.

Data Governance: Implement data governance frameworks to ensure data security, privacy, integrity, and compliance with regulatory requirements, including data encryption, access controls, and auditing—crucial for responsible AI deployment.

Job Title – Data Engineer

Contract Length – 1 year extendable.

Location – Onsite in Dubai

Start Date – TBC

Position Overview:

The client is seeking a Data Engineer to join the team of AI specialists in the UAE. As the Data Engineer, you will be responsible for designing, implementing, and optimizing data pipelines and infrastructure to support the cutting-edge AI systems. You will collaborate closely with the team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling them to unlock valuable insights and drive innovation across various domains.

Requirements

• Pipeline Development: Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds, with consideration for downstream AI/ML workloads.
• Data Integration: Implement robust data integration processes to seamlessly integrate data from different sources, ensuring consistency, reliability, and data quality for analytics and AI use cases.
• Data Storage: Design and optimize data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services, to efficiently store and manage large volumes of data for AI and machine learning model consumption.
• Performance Optimization: Optimize data processing and query performance to enhance system scalability, reliability, and efficiency, leveraging techniques such as indexing, partitioning, caching, and parallel processing—especially for AI model training and inference pipelines.
• Data Governance: Implement data governance frameworks to ensure data security, privacy, integrity, and compliance with regulatory requirements, including data encryption, access controls, and auditing—crucial for responsible AI deployment.
• Monitoring and Maintenance: Monitor data pipelines and infrastructure components, proactively identify and address issues, and perform routine maintenance tasks to ensure system stability and reliability across AI and data science environments.
• Documentation: Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing across AI and analytics teams
• Expertise in data modelling, ETL (Extract, Transform, Load) processes, and data warehousing concepts, with proficiency in SQL and scripting languages (e.g., Python, Scala)—especially in AI pipeline preparation and feature engineering.
• Strong hands-on experience with big data technologies and frameworks, such as Hadoop, Spark, Kafka, and Flink, as well as cloud platforms (e.g., AWS, Azure, GCP) commonly used for AI workloads.
• Experience supporting AI/ML initiatives, including the preparation of training datasets, model input/output data flows, MLOps integration, and experimentation tracking.
• Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.
• Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation, continuous learning, and contributing to AI-driven solutions.