Data Engineer

WEbook, Inc.; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading company in the event ticketing industry is seeking a Data Engineer to architect and implement data integration pipelines. The role involves ensuring data quality and reliability while managing data infrastructure. Ideal candidates will have strong experience with data tools and programming languages, along with excellent problem-solving skills.

Qualifications

• 5-6 years of experience as a Data Engineer or related role.
• Proficient in data pipelines using tools like Apache Airflow.
• Strong experience with data lakes, warehouses, and real-time streaming.

Responsibilities

• Architect and implement data integration pipelines.
• Maintain data ingestion, processing, and storage solutions.
• Collaborate on data governance policies and standards.

Skills

Data Integration

ETL Development

Data Governance

Data Modeling

Problem Solving

Communication

Tools

Apache Airflow

Google BigQuery

MongoDB

Tableau

AWS

Google Cloud

Job description

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's 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 for you. webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom with over 2 billion in sales. webook.com is part of the Supertech Group, which also includes UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.

Key Responsibilities:

1. 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 processes to ensure data quality, consistency, and reliability. Optimize data transformation workflows for performance and scalability.
2. Data Infrastructure and Platform Management: Implement and maintain data ingestion, processing, and storage solutions to support data and analytics needs. Ensure data infrastructure's reliability, security, and availability through monitoring, troubleshooting, and disaster recovery planning.
3. Data Governance and Metadata Management: Collaborate with the data governance team to establish policies, standards, and procedures. Develop and maintain metadata management systems for data lineage, provenance, and traceability. Implement data quality control measures and validation processes to ensure data integrity.

Minimum Requirements:

• 5-6 years of experience as a Data Engineer or in a related data-driven role.
• Proficient in designing and implementing data pipelines using tools like Apache Airflow, Airbyte, or cloud-based services.
• Strong experience with data infrastructure such as data lakes, data warehouses, and real-time streaming platforms (e.g., Elastic, Google BigQuery, MongoDB).
• Expertise in data modeling, data quality, and metadata management.
• Proficient in programming languages like Python or Java, and SQL.
• Familiar with cloud platforms (AWS, Google Cloud) and DevOps practices.
• Excellent problem-solving skills and ability to work collaboratively across teams.
• Strong communication skills to translate technical concepts to stakeholders.

Preferred Qualifications:

• Experience with data visualization and BI tools (e.g., Tableau, Qlik).
• Knowledge of machine learning and AI applications in data initiatives.
• Project management experience and leadership in data projects.