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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!