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Senior Data Engineer

icon building Company : Air Arabia
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Senior Data Engineer


Job Purpose

Responsible for designing, building, and optimizing scalable data infrastructure and pipelines that support the organization's analytics, data science, and AI capabilities. Serves as a senior technical contributor, driving engineering excellence, ensuring reliable and high-performing data solutions, and providing guidance to junior engineers.

Key Result Responsibilities


  • Design and deliver complex, scalable data pipelines and infrastructure components end-to-end, from requirements through to production

  • Own the technical design and implementation of data models across relational, NoSQL, and lakehouse architectures to support analytics and ML workloads

  • Architect and optimize data flows across cloud platforms (Azure, AWS, or GCP), ensuring performance, cost-efficiency, and reliability

  • Build and maintain robust orchestration workflows using tools such as Apache Airflow, dbt, or Azure Data Factory

  • Define and implement data quality frameworks — validation rules, automated testing, monitoring, and alerting — across assigned pipeline domains

  • Collaborate closely with Data Scientists and Analytics Engineers to ensure data infrastructure meets downstream consumption requirements

Key Result Responsibilities-Continued


  • Contribute to architectural reviews and platform decisions, providing well-reasoned technical input and trade-off analysis

  • Lead code reviews and enforce engineering best practices, documentation standards, and security and governance requirements

  • Mentor Associate and mid-level Data Engineers, providing technical guidance and supporting their professional development

  • Proactively identify platform improvements, technical debt, and opportunities to modernize the data stack

Qualifications (Academic, training, languages)


  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a related field. 

  • Proven experience working with large-scale cloud data platforms in a professional setting

  • ITIL Certification is an advantage but not mandatory

  • Fluent in English language.

  • Expert-level SQL and strong Python skills; working knowledge of Spark, Scala, or Java is a plus

  • Deep hands-on experience with cloud data services on Azure, AWS, or GCP (e.g., Azure Data Factory, Synapse, S3, Redshift, BigQuery)

  • Advanced knowledge of data orchestration tools (e.g., Apache Airflow, dbt, Prefect) and CI/CD practices for data pipelines

  • Solid understanding of dimensional and vault data modelling techniques and lakehouse architecture patterns

  • Experience with streaming and batch processing frameworks (e.g., Apache Kafka, Spark Streaming, Azure Event Hubs)

  • Strong grasp of data governance, data quality frameworks, and metadata management practices

  • Ability to communicate complex technical designs clearly and mentor less experienced engineers effectively

  • Strong experience with data warehousing platforms such as Snowflake, Redshift, or Azure Synapse, including performance tuning and access control

Work Experience


  • With 6-8 years of progressive hands-on experience in data engineering, with a demonstrable track record of delivering production-grade data infrastructure


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