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Data Engineer

Unlock employer Dubai, United Arab Emirates Posted: 18 Jul 2025

Financial

  • Estimate: $70k - $100k*
  • Zero income tax location

Accessibility

  • Hybrid
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Intermediate
  • English: Professional

Position

At Capgemini Engineering, a world leader in engineering services, we unite a global team of engineers, scientists, and architects to assist the world's most innovative companies in unleashing their potential. Our digital and software technology experts provide unique R&D and engineering services across all industries, focusing on projects from autonomous vehicles to life-saving robots. Join us for a career rich with opportunities to make a difference, where no two days are the same.

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We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will ensure the efficient flow of data across systems to support analytics and business intelligence in manufacturing operations.

Responsibilities:

  • Design, develop, and maintain robust ETL/ELT pipelines for data ingestion and transformation.
  • Optimize data storage and retrieval for performance and scalability.
  • Ensure data quality, integrity, and security across systems.
  • Collaborate with data scientists, analysts, and IT teams to support data needs.
  • Implement and manage data architecture and infrastructure on cloud or on-premises platforms.
  • Monitor and troubleshoot data pipeline issues and system performance.
  • Maintain documentation of data flows, schemas, and system configurations.
  • Support real-time data processing and integration with IoT and manufacturing systems.

Your Profile:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
  • 2–5 years of experience in data engineering or software development, preferably in manufacturing.
  • Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Talend).
  • Experience with cloud data platforms (e.g., Azure Data Factory, AWS Glue, GCP Dataflow).
  • Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and real-time streaming (e.g., Kafka).
  • Strong understanding of data modeling, database design, and system integration.
  • Excellent collaboration and communication skills.

What You’ll Love About Working Here:

  • Flexible Work Arrangements: Work remotely or adjust work hours for a balanced lifestyle.
  • Career Growth Opportunities: Access diverse roles and career development programs.
  • Training & Certifications: Equip yourself with valuable certifications in emerging technologies.

Capgemini is a global business and technology transformation partner, dedicated to accelerating the dual transition to a digital and sustainable world while creating tangible impacts for enterprises and society.

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