Astek Middle East is part of Astek, a global engineering and technology consulting group founded in France in 1988 and now present on five continents. The Middle East entity delivers IT and technology services across Saudi Arabia, the UAE, and Jordan, supporting clients in public and government, healthcare, transportation, banking, retail, airlines, and tourism. With 10,000 employees worldwide and revenue of €620 million in 2023, Astek focuses on digital transformation and complex systems engineering for international clients. The group promotes a strong culture of entrepreneurship, innovation, and continuous skills development. More information is available on the Astek Saudi Arabia and UAE country pages, and candidates can reach Astek Middle East at contact-astekme@astek-international.com.

About the Role

We are seeking experienced AI Engineers to contribute to data-intensive engineering and AI-driven initiatives for our client in Riyadh. The role focuses on building and maintaining scalable data pipelines, supporting data processing and storage platforms, and ensuring data quality and governance across batch and streaming environments.

The ideal candidate will have strong hands-on experience with Python, SQL, Apache Spark, Kafka, ETL/ELT processes, data lakes, and data warehouses.

Key Responsibilities

Design, develop, and maintain batch and streaming data pipelines.
Build and optimize ETL/ELT workflows for data processing and integration.
Develop data processing solutions using Python, SQL, and Apache Spark.
Work with data lakes and data warehouses to support scalable data storage and processing.
Implement and maintain streaming data solutions using Apache Kafka.
Monitor pipeline performance, troubleshoot failures, and improve reliability.
Implement data quality checks and contribute to data governance standards.
Collaborate with engineering teams to support data platform requirements.
Document pipelines, processing workflows, and technical standards.

Qualifications

At least 6 years of relevant professional experience in AI engineering, data engineering, or a closely related field.
Saudi nationality is mandatory.
Strong hands-on programming experience with Python and SQL.
Experience building and managing batch and streaming data pipelines.
Practical experience with ETL/ELT processes.
Experience working with data lakes and data warehouses.
Experience with Apache Spark and Kafka.
Understanding of data quality, validation, and governance practices.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to collaborate effectively with multidisciplinary technical teams.

Required Technical Skills

Python and SQL
Apache Spark
Apache Kafka
Batch and streaming data pipelines
ETL/ELT
Data lakes and data warehouses
Data quality and governance

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About the company

Astek Middle East

Information Technology & Services

About the Company

About the Role

The ideal candidate will have strong hands-on experience with Python, SQL, Apache Spark, Kafka, ETL/ELT processes, data lakes, and data warehouses.

Key Responsibilities

Design, develop, and maintain batch and streaming data pipelines.
Build and optimize ETL/ELT workflows for data processing and integration.
Develop data processing solutions using Python, SQL, and Apache Spark.
Work with data lakes and data warehouses to support scalable data storage and processing.
Implement and maintain streaming data solutions using Apache Kafka.
Monitor pipeline performance, troubleshoot failures, and improve reliability.
Implement data quality checks and contribute to data governance standards.
Collaborate with engineering teams to support data platform requirements.
Document pipelines, processing workflows, and technical standards.

Qualifications

At least 6 years of relevant professional experience in AI engineering, data engineering, or a closely related field.
Saudi nationality is mandatory.
Strong hands-on programming experience with Python and SQL.
Experience building and managing batch and streaming data pipelines.
Practical experience with ETL/ELT processes.
Experience working with data lakes and data warehouses.
Experience with Apache Spark and Kafka.
Understanding of data quality, validation, and governance practices.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to collaborate effectively with multidisciplinary technical teams.

Required Technical Skills

Python and SQL
Apache Spark
Apache Kafka
Batch and streaming data pipelines
ETL/ELT
Data lakes and data warehouses
Data quality and governance

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