Mozn is a rapidly growing technology firm based in Riyadh, Saudi Arabia, specializing in Artificial Intelligence and Data Science. The company aims to realize Vision 2030 and has a proven track record in supporting the tech ecosystem in Saudi Arabia and the GCC region. As the trusted AI technology partner for numerous government organizations and large corporations, Mozn is scaling to provide AI-powered products and solutions that contribute to digital progress.
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We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data architectures and pipelines. This role is pivotal in delivering high-quality consultation services for public and private sector clients in Saudi Arabia, ensuring compliance, reliability, and business value from data assets.
What You'll Do:
- Architect, develop, and maintain large-scale data pipelines and integration workflows.
- Ensure high data quality, consistency, and security across multiple environments.
- Collaborate with data scientists, business stakeholders, and IT teams to deliver reliable solutions.
- Lead data migration, transformation, and optimization projects for clients in government and enterprise sectors.
- Evaluate and implement modern data frameworks, tools, and both cloud/on-premises technologies.
- Provide guidance and mentorship to junior data engineers and consultants.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 4+ years of hands-on experience in data engineering and data architecture.
- Strong expertise in SQL, Python, Spark, Hadoop, Airflow, and ETL/ELT frameworks.
- Experience with cloud platforms (AWS, GCP, OCI, Azure) and on-premises environments.
- Knowledge of data governance, compliance (e.g., PDPL), and metadata management.
Benefits:
- Opportunity to be part of an exciting time for the Middle East, joining a high-growth company.
- Significant responsibility and trust in your role.
- Competitive compensation and top-tier health insurance.
- A dynamic and enjoyable workplace with talented colleagues in AI.
- Emphasis on diversity and empowering individuals to be their best selves.
If you are passionate about data engineering and looking to make a significant impact, apply now!
