Senior Data Engineer

• 12 month extendable contract
• Abu Dhabi | Office Based

I am seeking an experienced Senior Data Engineer to join a growing data and analytics team responsible for building scalable, secure, and high-performance data platforms. The successful candidate will design, develop, and optimize modern data solutions that support advanced analytics, business intelligence, and machine learning initiatives.

This role requires expertise in large-scale data engineering, cloud technologies, and modern data architectures, with a strong focus on reliability, performance, security, and data governance. 

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and process large-scale datasets. 
• Build and optimize data processing frameworks using technologies such as Spark, Delta Lake, Kafka, and other modern big data platforms.
• Develop and maintain data models, schemas, data lakes, lakehouses, and data warehouses that support analytics and reporting requirements.
• Implement data quality, validation, monitoring, and observability frameworks to ensure data accuracy and reliability.
• Design and support real-time and batch data processing solutions using streaming technologies and distributed systems. 
• Ensure compliance with security, privacy, access control, and regulatory requirements for sensitive data. 
• Collaborate closely with data scientists, analysts, architects, and business stakeholders to deliver high-value data products and services. 
• Manage and enhance distributed data platforms to ensure scalability, availability, and performance. 
• Contribute to data governance, master data management, metadata management, and data catalog initiatives. 
• Stay current with emerging technologies, industry best practices, and innovations in cloud and data engineering. 

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 5 years of experience designing, building, and operating enterprise-scale data platforms and pipelines. 
• Strong proficiency in SQL and Python. 
• Hands-on experience with Apache Spark, distributed data processing frameworks, workflow orchestration tools, and messaging platforms such as Kafka. 
• Experience with cloud-based data solutions on Azure, AWS, or Google Cloud Platform.
• Strong knowledge of data warehousing, data lakes, lakehouse architectures, and data modeling methodologies. 
• Experience working with containerization and orchestration technologies such as Docker and Kubernetes. 
• Understanding of data governance, data quality, security, and privacy best practices. 
• Strong analytical, problem-solving, and communication skills. 

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