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    Senior Data Engineer
    Senior Data Engineer
    24/03/2026 by Orange Business
    SALA AL JADIDA
    Salary not provided
    Hybrid

    Orange Business, a global network and digital integrator, is seeking a seasoned Data Engineer to join its Sala Al Jadida team in Morocco. This full‑time, permanent position (CDI) offers the opportunity to work within a dynamic, cross‑functional environment that spans data strategy, cloud migration, and operational excellence. The successful candidate will play a pivotal role in designing, building, and maintaining robust data pipelines that support the organization’s data initiatives across on‑prem and cloud platforms.

    Key Responsibilities

    • Design, develop, and maintain scalable data pipelines for ingestion, transformation, modeling, and warehousing using Hadoop, Spark, Kafka, NiFi, and other Big Data technologies.
    • Lead the migration of existing on‑prem Big Data use cases to Azure‑based cloud solutions, ensuring seamless transition and minimal disruption.
    • Define detailed technical specifications based on user stories, translating business requirements into actionable data solutions.
    • Automate data workflows and deploy them in DevOps environments, leveraging CI/CD pipelines and container orchestration tools such as Kubernetes.
    • Optimize data ingestion, processing, and query performance on distributed data lakes and SQL engines, ensuring high throughput and low latency.
    • Ensure data quality, security, and compliance across all data pipelines, implementing best practices for data governance and privacy.
    • Document technical specifications, operational procedures, and troubleshooting guides to support knowledge transfer and maintainability.
    • Provide technical support and troubleshooting for data pipelines and solutions, collaborating with cross‑functional teams to resolve issues quickly.
    • Mentor junior engineers, fostering a culture of continuous learning and technical excellence.

    Required Skills

    • Extensive experience with Hadoop ecosystem components (HDFS, Hive, YARN, NiFi, Oozie, Kafka).
    • Proficiency in Spark (Scala, Python, Java) for large‑scale data processing.
    • Hands‑on experience with cloud platforms: Azure (Data Factory, Synapse, Power BI), AWS, or Google Cloud.
    • Strong SQL skills, data modeling, and API integration.
    • Familiarity with container orchestration (Kubernetes) and DevOps practices.
    • Excellent scripting skills in Linux environments for automation and administration.
    • Strong analytical, problem‑solving, and communication skills in English and French.

    Benefits & Opportunities

    • Competitive salary and benefits package aligned with industry standards.
    • Opportunities for professional development, including training programs and upskilling initiatives.
    • Flexible working arrangements: hybrid model combining office and remote work.
    • Exposure to global projects and collaboration with international teams.
    • Career growth and mobility within Orange’s global ecosystem.

    Orange Business is committed to diversity, equity, and inclusion. We encourage applications from individuals of all backgrounds and provide a supportive environment that values innovation, collaboration, and continuous improvement.

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