Data Engineering Jobs in Saudi Arabia
There are 109 open Data Engineering jobs in Saudi Arabia on freehire right now. 26 of them were posted recently. The skills employers ask for most often are analytics, data-quality and sql.
Most requested skills
- analytics 59%
- data-quality 59%
- sql 59%
- etl 57%
- data-pipelines 56%
- data-engineering 50%
- python 45%
- cloud 43%
How the work is done
- Remote 4 · 4%
- Onsite 3 · 3%
- Hybrid 2 · 2%
Visa sponsorship offered in 50% of the 2 postings that state a position on it.
Seniority
- Senior 30
- Junior 5
- Lead 4
- Intern 3
- Principal 2
Who is hiring
- 1000+ employees 7
- 501-1000 employees 1
Lead Data Engineer: ETL, Quality & Governance
Lead data engineering role at Maaden, Saudi Arabia's mining company: design, build, and optimize scalable ETL pipelines that turn raw data into high-quality, well-governed information assets, while providing technical leadership and supporting BI and analytics across the business.
Principal OT Data Engineer & ETL Architect
Maaden seeks a principal-level OT data engineer/architect to define enterprise OT data standards, build reliable ETL pipelines bridging operational technology with enterprise data platforms, and drive governance across multiple sites, supporting analytics and AI initiatives.
Senior OT Data Engineer & ETL Architect
Ma'aden is hiring a Principal Specialist to lead OT data engineering strategy, ETL architecture, and data governance across its mining sites in Saudi Arabia. The role defines standards for OT data ingestion, transformation, and integration on secure, scalable platforms that power analytics and AI initiatives.
Data engineer
Senior Data Engineer designing and building production-grade data pipelines in Palantir Foundry (Python/SQL transforms, ontology modelling, external system integrations) to feed downstream AI applications. Engaged via Hiredge Solutions for a global tech consultancy client, based in Riyadh.
Data Engineer Sr. Manager
Leads Geidea's data engineering team, owning the enterprise data platform on GCP (BigQuery, Dataflow, Pub/Sub, Composer) and delivering batch and real-time pipelines for payments reporting, BI, governance, and AI/ML. Requires 8+ years in data engineering and 3+ years in leadership, with strong SQL, Python, and streaming experience.
Junior Data Engineer
Junior data engineer in Saudi Arabia who builds and maintains data pipelines, databases, and data warehouses, cleaning and processing data to ensure quality and reliability. Core stack: SQL, Python, ETL, and Big Data tools like Airflow, PySpark, NiFi, and Hive; Snowflake or Databricks is a plus.
Junior Data Engineer: Build Reliable Data Pipelines
Entry-level Data Engineer at شركة واكب who designs and builds data pipelines, cleans and transforms data from multiple sources, and develops scalable data warehouses to support data-driven decisions. Core stack is SQL and Python, with tools like Airflow, PySpark, NiFi, Hive, Snowflake, or Databricks.
Data Engineer
Data engineer on the bank's Data and Insights team, maintaining and improving the data platform and building ETL/ELT pipelines for analytics and reporting. Core stack: Azure (Databricks, Data Factory, SQL Server, DevOps), Python/PySpark, SQL, Power BI and PowerShell.
Data Engineer
About the role: We are seeking an experienced data engineer with 5-7 years of hands-on experience to design, build, and maintain scalable data solutions on Google Cloud Platform. In this fully remote role, you will…
Senior Data Engineer - Remote, Flexible Hours & Growth
A leading data solutions company in Riyadh is seeking an experienced Data Engineer to build and optimize ETL workflows and scalable data architectures on cloud platforms. The ideal candidate should have over 7 years of…
Data Engineering & Analytics - Onsite-KSA-Saudi Nation
Full-time Job Description We are looking for an experienced Data Engineer to build and maintain scalable data pipelines, data integration solutions, and analytics platforms that support enterprise reporting, advanced…
Lead Data Engineer - Scalable ETL & Data Quality
Lead data engineering role at Ma'aden Aluminium: build scalable ETL pipelines and ensure data quality, governance and platform reliability for enterprise analytics, providing technical leadership across data engineering, governance and business teams in a complex industrial setting.
Senior Data Engineer - Spark, Iceberg & Lakehouse
Builds and optimizes data ingestion, transformation, and consumption pipelines on a modern on-premises lakehouse in Riyadh, using Spark-based ETL/ELT, Apache Iceberg tables, and Informatica integrations, with analytics enabled via Denodo, Starburst, or Dremio.
Data Engineer: Spark, Lakehouse & Informatica
Designs, builds, and operates data pipelines on a modern lakehouse platform: Spark-based ETL/ELT development, Iceberg tables, and Informatica-driven integration, plus data modeling and collaboration with platform engineers to deploy pipelines. Denodo experience is a plus.
Data Engineer: Spark, Iceberg & Informatica Expert
Designs, builds, and optimizes data ingestion and transformation pipelines on an on-prem lakehouse, using Spark for development and Informatica for integration. Work centers on data modeling with Iceberg tables, governance, and scalable pipelines supporting analytics and data consumption.
Data Engineer
Builds, configures, and optimizes data ingestion, transformation, and ETL/ELT pipelines on an on-premises lakehouse using Apache Spark, Iceberg, MinIO, and Informatica, exposing data for analytics via Denodo/Starburst/Dremio. Full-time, KSA-based role for candidates with 5–10 years of experience.
Data Engineer Intern
Data Engineering Intern at SiFi, a B2B fintech spend-management company in Riyadh. The intern builds and maintains ETL/ELT data pipelines, SQL queries, and data warehouse models (facts, dimensions, SCD Type 2) using GCP/BigQuery and transformation tools like dbt or SQLMesh, while supporting data quality, CI/CD, and AI/ML pipeline exposure.
Onsite Data Engineer: Pipelines, Warehouses & Analytics
Onsite data engineer in Riyadh who designs scalable data pipelines, builds data warehouses, and implements batch and real-time processing to support enterprise reporting, analytics, and AI initiatives, working across cloud platforms like AWS, Azure, and GCP while ensuring data quality, security, and reliability.