# Senior Data Engineer

> webook.com · Riyadh, Saudi Arabia · Full-time · Posted 2026-01-15

**Workplace:** on_site

**Department:** Technology

## Description

Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you're looking for ,[webook.com](http://webook.com/) is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales. 

**Key Responsibilities:**

-   Data Integration and ETL Development
-   Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform.
-   Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability.
-   Optimize data transformation workflows to improve performance and scalability.
-   Data Infrastructure and Platform Management:
-   Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements.
-   Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.
-   Data Governance and Metadata Management:
-   Collaborate with the data governance team to establish data policies, standards, and procedures.
-   Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability.
-   Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.

## Requirements

-   5-6 years of experience as a Data Engineer or a related role in a data-driven organization.
-   Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services.
-   Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb).
-   Expertise in data modeling, data quality management, and metadata management.
-   Proficient in programming languages such as Python, or Java, and experience with SQL.
-   Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices.
-   Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
-   Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.

**Preferred Qualifications:**

-   Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).
-   Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.
-   Project management experience and the ability to lead data integration and infrastructure initiatives.
-   If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity

## Apply

[Apply at webook.com](https://apply.workable.com/webook/j/6DCFD67DB5/apply)

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