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Join Our Team as a Data Engineer!

We at *****, an international Data and AI consultancy, are looking for a skilled Data Engineer to join our dynamic team in Saudi Arabia. As a part of our mission, we specialize in engineering-led solutions across data infrastructure and AI systems, partnering with enterprises to transform data from concept to production.

About the Role
You will work directly with our client's engineering team in Saudi Arabia, where you will be responsible for the design, development, and operation of production-grade data infrastructure. This hands-on engineering role will allow you to take ownership of pipelines from end to end while contributing to high-impact data programs.

Key Responsibilities

• Data Pipeline Engineering: Design, build, and maintain scalable ELT/ETL pipelines using tools like dbt, PySpark, or Airflow. Implement batch and streaming architectures for effective data ingestion and transformation.
• Data Platform & Architecture: Contribute to design decisions regarding lakehouse, data warehouse, and integration patterns while ensuring data security and compliance with regulatory standards.

Required Skills & Experience

• Proficiency in Python, advanced SQL, and PySpark.
• Experience with pipeline orchestration tools such as Airflow or Azure Data Factory.
• Minimum of 5 years in production data engineering with a proven track record of enterprise-scale pipelines.
• Familiarity with cloud services, preferably Azure.

Eligibility
Valid Saudi iqama is mandatory for (non saudi). Candidates should be based in Saudi Arabia or available for immediate mobilization.

Join us and be part of a vibrant team dedicated to excellence in data and AI solutions!

Join Astek as a Senior Data Engineer!
We're looking for a hands-on Senior Data Engineer who is excited to design, build, and operate robust analytics pipelines for our clients. This role is critical in driving our clients' digital transformations through scalable data solutions.

Key Responsibilities:

• Design and build extract, transform, load (ETL) and extract, load, transform (ELT) pipelines to move and transform data across platforms.
• Model data for analytics and ensure it is clean, well-documented, and built to last.
• Review and accept peer code, participate in code reviews for quality and maintainability.
• Collaborate with analysts, clinicians, and business teams to translate needs into reliable data products.
• Ensure production stability by investigating incidents, addressing root causes, and enhancing observability.

Qualifications:

• 5+ years of hands-on data engineering experience.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Statistics, or a related field (or equivalent practical experience).
• Hands-on experience with Apache Spark and the ability to write, tune, and debug Spark jobs in production.
• Experience with data build tools, managing projects of meaningful size, writing tests, and handling complex dependency management.
• Strong data modeling skills, including dimensional modeling and normalization vs denormalization trade-offs.
• Excellent communication skills in both Arabic and English; Arabic fluency is essential.

Nice-to-Haves:

• Experience with Databricks and healthcare data.
• Experience with Apache Airflow and continuous integration/continuous deployment (CI/CD) pipelines.
• Familiarity with open table formats like Apache Iceberg, Delta Lake, and Hudi.
• Experience with data cataloging and discovery tools.

Become a part of our multinational team and contribute to meaningful projects that harness the power of data!

Join Masdr as a Data Engineer!
Masdr is committed to providing integrated digital data and business solutions to enhance operational efficiency and improve customer experience. We are on a mission to support decision-making through modern digital technologies and data solutions, ensuring compliance with legislative requirements.

Job Purpose:
As a Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure to enable reliable data processing, integration, and analytics. Your work will ensure alignment with our engineering standards and business needs.

Key Responsibilities:

• Design, develop, and maintain data pipelines for ingestion, processing, and transformation.
• Implement ETL/ELT workflows for efficient data movement.
• Integrate data from multiple sources to ensure consistency and accuracy.
• Develop data transformation logic to support analytics.
• Ensure data quality, integrity, and consistency.
• Implement validation checks and monitoring for data controls.
• Optimize data pipelines for performance and scalability.
• Identify and resolve data processing bottlenecks.
• Ensure timely data delivery while following engineering standards and security policies.

Qualifications & Experience:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 3–6 years of experience in data engineering or big data environments.
• Hands-on experience in building and maintaining ETL/ELT data pipelines and working with SQL/NoSQL databases is preferred.