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Senior Data Engineer (m/f/d)

Summary

Design and build scalable data pipelines and cloud-based data platforms using Spark, Kafka, and Delta Lake to support analytics and ML workloads in Abu Dhabi.

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.



Senior Data Engineer in Abu Dhabi, United Arab Emirates

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