Senior Data Engineer: Architect Scalable Data Pipelines

Qiddiya | القدية; Riyadh; On-site; SAR 230,000 - 320,000; Full time

Job summary

Qiddiya is seeking a Senior Data Engineer to transform raw data into scalable systems and enable analytics. You will architect and optimize data pipelines, collaborate with cross-functional teams, and drive data availability and reliability for decision making.

You'll work with Python/Java/Scala, SQL/NoSQL, and cloud services (GCP, AWS/Azure as needed) to build modern data platforms and support ML initiatives.

Qualifications

• Degree in Computer Science, IT, or similar field; a Master’s is a plus.
• Experience as a data engineer with Google Cloud Platform preferred.
• Proficiency in data models, data mining, and segmentation techniques.
• Programming in Python, Java, or Scala; SQL and NoSQL databases.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Deploy data pipelines on Dataflow, DataProc, Data Fusion, and Cloud Composer.
• Build distributed data stores and data architectures.
• Collaborate with data science, marketing, and customer success teams.
• Implement data quality checks, monitoring, and automation.

Skills

Python

Java

Scala

SQL

NoSQL

ETL

Data Modeling

Cloud Platforms

Education

Bachelor's degree in CS/IT or related field

Tools

Google Cloud Platform

Apache Spark

Apache Kafka

Apache Airflow

DataFlow

DataProc

Data Fusion

BigQuery

Job description

Qiddiya is seeking a Senior Data Engineer to transform raw data into scalable systems and enable analytics. You will architect and optimize data pipelines, collaborate with cross-functional teams, and drive data availability and reliability for decision making.

You'll work with Python/Java/Scala, SQL/NoSQL, and cloud services (GCP, AWS/Azure as needed) to build modern data platforms and support ML initiatives.